List of Dino Supermarkets in Poland: 3,183 Locations (CSV)
List of Dino Supermarkets in Poland: 3,183 Locations (CSV)
Dino is a high-growth Polish proximity supermarket chain that has become one of the fastest-growing retailers in Europe. It focuses on mid-sized stores located in smaller towns and rural areas, offering a consistent layout and strong meat departments.
As of 12 October 2026, Dino operates 3,183 supermarkets in Poland, according to Geolocet. The Region with the most stores is Wielkopolskie, with 634 (18.13 stores per 100,000 residents). The CSV dataset has 18 fields, including Website (present in 99.2% of records) and Opening hours (present in 99.2%).
Dataset Summary
- Dataset Coverage: 3,183 Dino supermarkets in Poland
- 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: 12 October 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
- City
- Admin_level_1
- Admin_level_2
- Municipality
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Web Address99%
- Opening Hours99%
- Popularity Score100%
Data Preview: Sample geospatial records from the Dino dataset in Poland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 3281d7e... | Dino (Dobrzelów) | 51.384083 | 19.384613 | 97-400 | , Dobrzelów, 97-400, Powiat bełchatow... |
| 3211ca7... | Market Dino (Wińsko) | 51.466842 | 16.609227 | 56-160 | 12 Wincentego Witosa, Wińsko, 56-160,... |
| 7a60a80... | Dino (Bęczków) | 50.872625 | 20.796033 | 26-008 | 57 Kielecka, Bęczków, 26-008, Powiat ... |
| 8fbe1ce... | Dino (Koźmin Wielkopolski) | 51.831280 | 17.454669 | 63-720 | 37 Jana Pawła II, Koźmin Wielkopolski... |
| ae0a1e6... | Dino (Łowyń) | 52.500199 | 15.916467 | 64-426 | 22 Szkolna, Łowyń, 64-426, Powiat mię... |
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 12 October 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 Dino locations in Poland is found in Wielkopolskie (634 sites, equivalent to 18.13 Dino supermarkets per 100,000 residents). This is followed by Dolnośląskie (338 sites; 11.78 per 100,000) and Mazowieckie (273 sites; 4.96 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 19.8 locations per 100,000 people (population: 965,000), making it the most saturated region for Dino in Poland. By contrast, Podkarpackie records only 2.47 locations per 100,000 residents (population: 2,060,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Poland.
| Region | Dino Locations | Population | Density per 100,000 |
|---|---|---|---|
| Wielkopolskie | 634 | 3,495,000 | 18.13 |
| Dolnośląskie | 338 | 2,865,000 | 11.78 |
| Mazowieckie | 273 | 5,505,000 | 4.96 |
| Łódzkie | 262 | 2,345,000 | 11.17 |
| Kujawsko-Pomorskie | 236 | 1,980,000 | 11.89 |
| Zachodniopomorskie | 216 | 1,620,000 | 13.31 |
| Śląskie | 202 | 4,290,000 | 4.71 |
| Lubuskie | 192 | 965,000 | 19.8 |
| Pomorskie | 132 | 2,355,000 | 5.59 |
| Opolskie | 131 | 930,000 | 14.08 |
| Warmińsko-Mazurskie | 127 | 1,345,000 | 9.41 |
| Świętokrzyskie | 125 | 1,155,000 | 10.79 |
| Lubelskie | 113 | 1,995,000 | 5.66 |
| Małopolskie | 90 | 3,430,000 | 2.62 |
| Podlaskie | 61 | 1,140,000 | 5.34 |
| Podkarpackie | 51 | 2,060,000 | 2.47 |
Geolocet is a store location data provider. See also our POI datasets.
Also available for Poland
Brand bundle
Top 21 Supermarket Brands in Poland: 17,945 Locations
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View the Top 21 Supermarket Brands dataset →Full market coverage
Poland Supermarket POI Dataset: 58,996 Locations
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 the Poland Supermarket POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Poland: Map these Dino locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Poland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Dino locations.
- Explore demographics data insights for Poland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Poland (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.
- Explore a rich library of Poland-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 Poland
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?
- 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.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
Frequently Asked Questions
Q: How many Dino supermarkets are there in each Region of Poland?
A: The Regions with the most Dino supermarkets are Wielkopolskie with 634 (18.13 stores per 100,000 residents), Dolnośląskie with 338 (11.78 stores per 100,000 residents) and Mazowieckie with 273 (4.96 stores per 100,000 residents). The Region field is present in 100% of records.
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 18 fields. GUID, Title, Latitude, Longitude, Admin_level_1, Admin_level_2, Municipality, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records; Street No in 79.5%, Street in 79.6%, City in 99.9%, Wheelchair in 99.3%, Website in 99.2% and Opening hours in 99.2%.
Q: When was the data last updated?
A: The data was last updated on 12 October 2026.
Q: Under which licence can I use the data?
A: Use of the data is governed by the Geolocet terms of use: https://geolocet.com/pages/terms-of-use
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Dino dataset to identify underserved regions in Poland for potential market expansion.""Identify potential regional logistics bottlenecks caused by uneven geographic distribution of Dino locations in Poland.""Assess how effectively the current Dino network covers major commercial and residential hubs across Poland."
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.