List of SPAR Supermarkets in Poland: 233 Locations (CSV)
List of SPAR Supermarkets in Poland: 233 Locations (CSV)
SPAR in Poland operates through licensed regional retail partners across multiple store formats, ranging from convenience stores to supermarkets. It focuses on providing a modern shopping environment with a strong emphasis on fresh departments.
As of 12 October 2026, SPAR operates 233 supermarkets in Poland, according to Geolocet. The most are in Wielkopolskie (38), Małopolskie (37) and Mazowieckie (23). The dataset has 19 fields and is delivered as CSV.
Dataset Summary
- Dataset Coverage: 233 SPAR 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
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)36%
- Web Address82%
- Opening Hours91%
- Popularity Score100%
Data Preview: Sample geospatial records from the SPAR dataset in Poland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 1741fb2... | SPAR Express (Bydgoszcz) | 53.137648 | 18.033751 | 85-636 | 32 Czerkaska, Bydgoszcz, 85-636, Powi... |
| 7ee9ee3... | Eurospar (Glinice) | 51.381747 | 21.175768 | 26-604 | 29/31 Aleja Józefa Grzecznarowskiego,... |
| 3b0a4e2... | SPAR (Szprotawa) | 51.565781 | 15.540349 | 67-300 | 1 Targowa, Szprotawa, 67-300, Powiat ... |
| 6363518... | SPAR Express (Kurnos Drugi) | 51.324391 | 19.304975 | 97-400 | Kurnos Drugi, 97-400, Powiat bełchato... |
| 6676441... | SPAR mini (Nowa Sól) | 51.804232 | 15.709763 | 67-100 | 2 Sikorskiego, Nowa Sól, 67-100, Powi... |
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 SPAR locations in Poland is found in Wielkopolskie (38 sites, equivalent to 1.09 SPAR supermarkets per 100,000 residents). This is followed by Małopolskie (37 sites; 1.08 per 100,000) and Mazowieckie (23 sites; 0.42 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 2.06 locations per 100,000 people (population: 965,000), making it the most saturated region for SPAR in Poland. By contrast, Podlaskie records only 0.09 locations per 100,000 residents (population: 1,140,000), 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 | SPAR Locations | Population | Density per 100,000 |
|---|---|---|---|
| Wielkopolskie | 38 | 3,495,000 | 1.09 |
| Małopolskie | 37 | 3,430,000 | 1.08 |
| Mazowieckie | 23 | 5,505,000 | 0.42 |
| Lubuskie | 20 | 965,000 | 2.06 |
| Śląskie | 20 | 4,290,000 | 0.47 |
| Kujawsko-Pomorskie | 19 | 1,980,000 | 0.96 |
| Pomorskie | 17 | 2,355,000 | 0.72 |
| Łódzkie | 15 | 2,345,000 | 0.64 |
| Dolnośląskie | 14 | 2,865,000 | 0.49 |
| Podkarpackie | 13 | 2,060,000 | 0.63 |
| Świętokrzyskie | 7 | 1,155,000 | 0.6 |
| Lubelskie | 3 | 1,995,000 | 0.15 |
| Opolskie | 2 | 930,000 | 0.21 |
| Warmińsko-Mazurskie | 2 | 1,345,000 | 0.15 |
| Zachodniopomorskie | 2 | 1,620,000 | 0.12 |
| Podlaskie | 1 | 1,140,000 | 0.09 |
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 SPAR 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 SPAR 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?
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
Frequently Asked Questions
Q: How many SPAR supermarkets are there in each Region of Poland?
A: Wielkopolskie has 38 SPAR supermarkets (1.09 stores per 100,000 residents), Małopolskie has 37 (1.08 stores per 100,000 residents) and Mazowieckie has 23 (0.42 stores per 100,000 residents). Lubuskie has 20, Śląskie 20, Kujawsko-Pomorskie 19, Pomorskie 17, Łódzkie 15, Dolnośląskie 14, Podkarpackie 13, Świętokrzyskie 7, Lubelskie 3, Opolskie 2, Warmińsko-Mazurskie 2, Zachodniopomorskie 2 and Podlaskie 1.
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 19 fields. GUID, Title, Latitude, Longitude, City, Admin_level_1, Admin_level_2, Municipality, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records, Street No in 82.8%, Street in 85%, Wheelchair in 79.4%, Phone in 36.5%, Website in 81.5% and Opening hours in 90.6%.
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: The data can be used under 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 SPAR dataset to identify underserved regions in Poland for potential market expansion.""Identify regions in Poland where SPAR has a disproportionately strong or weak presence relative to population density.""Analyze the relationship between SPAR site distribution and regional economic activity 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.