Hitpol Supermarket Locations Dataset – Poland
Hitpol Supermarket Locations Dataset – Poland
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 Summary
- Dataset Coverage: 126 Hitpol 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 Hours94%
- Popularity Score100%
Data Preview: Sample geospatial records from the Hitpol dataset in Poland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 52ad12b... | Delikatesy Hitpol. (Tokarnia) | 49.732672 | 19.879012 | 32-436 | Tokarnia, 32-436, Powiat myślenicki, ... |
| 608375c... | Hitpol (Miejsce Piastowe) | 49.635092 | 21.786555 | 38-430 | 3 Krośnieńska, Miejsce Piastowe, 38-4... |
| 665e4b3... | Delikatesy Hitpol. (Bieździedza) | 49.803487 | 21.477720 | 38-214 | Bieździedza, 38-214, Powiat jasielski... |
| b9a67cf... | Delikatesy Hitpol. (Szymbark) | 49.629626 | 21.122213 | 38-311 | Szymbark, 38-311, Powiat gorlicki, Po... |
| b562014... | Delikatesy Hitpol. (Gdów) | 49.905440 | 20.204267 | 32-420 | 1424 Łapanowska, Gdów, 32-420, Powiat... |
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 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
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 →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 contact@geolocet.com.
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
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
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: 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: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Hitpol 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 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.