SKU: 69763676447

Dino Supermarket Locations Dataset – Poland

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Description

Dino Supermarket Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI 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. There are 3,113 Dino Supermarkets as of 30 May 2026 in

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.

There are 3,113 Dino Supermarkets as of 30 May 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Dino 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: 3,113 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: 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
  • 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 Address91%
  • Opening Hours90%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Dino dataset in Poland

ID Location Title Latitude Longitude Postal Code Full Address
e9f4967... Dino (Chrzan) 52.071771 17.510487 63-210 2A Długa, Chrzan, 63-210, Powiat jaro...
9fcf123... Dino (Kłoda) 51.771183 16.643746 64-130 Kłoda, 64-130, Powiat leszczyński, Po...
fbf3551... Dino (Racibórz) 50.091771 18.211596 47-400 6 Karola Miarki, Racibórz, 47-400, Po...
7d4ba65... Dino (Jacków) 50.965010 19.328993 42-282 116 Główna, Jacków, 42-282, Powiat cz...
6ae1128... Market Dino (Wińsko) 51.466895 16.609257 56-160 12 Wincentego Witosa, Wińsko, 56-160,...

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 Dino locations in Poland is found in Wielkopolskie (629 sites, equivalent to 18.0 Dino supermarkets per 100,000 residents). This is followed by Dolnośląskie (329 sites; 11.48 per 100,000) and Mazowieckie (262 sites; 4.76 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 19.79 locations per 100,000 people (population: 965,000), making it the most saturated region for Dino in Poland. By contrast, Podkarpackie records only 2.04 locations per 100,000 residents (population: 2,060,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Brand bundle

Top 21 Grocery Brands in Poland - €400

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 Poland - 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 →

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?

  • 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: Are the datasets suitable for machine learning workflows?

A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known Dino locations operating in Poland as of 30 May 2026.

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.

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