Hitpol Supermarket Locations Dataset – Poland

Hitpol Supermarket Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Hitpol is a Polish retail organization operating on a franchise basis, mainly in the southern regions of the country. It emphasizes regional community ties and provides independent retailers with marketing and purchasing support. There are 126 Hitpol Supermarkets as of 30 May 2026 in Poland. This dataset is

Hitpol is a Polish retail organization operating on a franchise basis, mainly in the southern regions of the country. It emphasizes regional community ties and provides independent retailers with marketing and purchasing support.

There are 126 Hitpol Supermarkets as of 30 May 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Hitpol locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

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

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Hitpol locations in Poland is found in Małopolskie (87 sites, equivalent to 2.54 Hitpol supermarkets per 100,000 residents). This is followed by Podkarpackie (38 sites; 1.84 per 100,000) and Świętokrzyskie (1 sites; 0.09 per 100,000). From a market-penetration perspective, Małopolskie has the highest brand density at 2.54 locations per 100,000 people (population: 3,430,000), making it the most saturated region for Hitpol in Poland. By contrast, Świętokrzyskie records only 0.09 locations per 100,000 residents (population: 1,155,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Poland: Map these Hitpol 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 Hitpol 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 [email protected].

Who uses this data?

• 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.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Hitpol dataset to identify underserved regions in Poland for potential market expansion."
• "Analyze proximity between Hitpol locations and major highways, ring roads, or arterial transport corridors in Poland."
• "Detect clusters where Hitpol sites are in close proximity to analyze potential self-cannibalization in 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.