List of Netto Supermarkets in Poland: 715 Locations (CSV)

List of Netto Supermarkets in Poland: 715 Locations (CSV)

Regular price €66,67 EUR
Regular price Sale price €66,67 EUR
Sale Sold out
View full details

Netto is a discount supermarket chain in Poland owned by the Danish Salling Group. It significantly increased its market share in 2021 by acquiring the majority of the former Tesco stores in Poland.

As of 12 October 2026, Netto operates 715 supermarkets in Poland, according to Geolocet. The most are in Śląskie (93), Wielkopolskie (92) and Zachodniopomorskie (88). The dataset has 19 fields and is delivered as CSV.

Dataset Summary

  • Dataset Coverage: 715 Netto 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.

Map showing the geographical distribution of Netto locations in Poland

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)98%
  • Web Address99%
  • Opening Hours99%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
2c272da... Netto (Chojnice) 53.693736 17.564239 89-600 3A Plac Niepodległości, Chojnice, 89-...
e21a02e... Netto (Rotmanka) 54.278932 18.593334 83-010 5A Objazdowa, Rotmanka, 83-010, Powia...
f2c314f... Netto (Chorzów) 50.287084 18.949817 41-530 57 Hajducka, Chorzów, 41-530, Powiat ...
a65f6c7... Netto (Jelonek) 52.486013 16.855765 62-002 12 Obornicka, Jelonek, 62-002, Powiat...
f2033de... Netto (Międzyrzecz) 52.441853 15.578038 66-300 2 Konstytucji 3 Maja, Międzyrzecz, 66...

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 Netto locations in Poland is found in Śląskie (93 sites, equivalent to 2.17 Netto supermarkets per 100,000 residents). This is followed by Wielkopolskie (92 sites; 2.63 per 100,000) and Zachodniopomorskie (88 sites; 5.42 per 100,000). From a market-penetration perspective, Zachodniopomorskie has the highest brand density at 5.42 locations per 100,000 people (population: 1,620,000), making it the most saturated region for Netto in Poland. By contrast, Podkarpackie records only 0.39 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 Netto Locations Population Density per 100,000
Śląskie 93 4,290,000 2.17
Wielkopolskie 92 3,495,000 2.63
Zachodniopomorskie 88 1,620,000 5.42
Mazowieckie 84 5,505,000 1.52
Dolnośląskie 59 2,865,000 2.06
Kujawsko-Pomorskie 50 1,980,000 2.52
Pomorskie 48 2,355,000 2.03
Łódzkie 43 2,345,000 1.83
Małopolskie 37 3,430,000 1.08
Lubuskie 36 965,000 3.71
Opolskie 24 930,000 2.58
Warmińsko-Mazurskie 23 1,345,000 1.7
Lubelskie 13 1,995,000 0.65
Świętokrzyskie 12 1,155,000 1.04
Podkarpackie 8 2,060,000 0.39
Podlaskie 5 1,140,000 0.44

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 →

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?

  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.

Frequently Asked Questions

Q: How many Netto supermarkets are there in each Region of Poland?

A: Śląskie has 93 Netto supermarkets (2.17 stores per 100,000 residents), Wielkopolskie has 92 (2.63 stores per 100,000 residents) and Zachodniopomorskie has 88 (5.42 stores per 100,000 residents). Mazowieckie has 84, Dolnośląskie 59, Kujawsko-Pomorskie 50, Pomorskie 48, Łódzkie 43, Małopolskie 37, Lubuskie 36, Opolskie 24, Warmińsko-Mazurskie 23, Lubelskie 13, Świętokrzyskie 12, Podkarpackie 8 and Podlaskie 5.

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 98.3%, Street in 98.9%, Wheelchair in 99.9%, Phone in 98.2%, Website in 98.6% and Opening hours in 98.6%.

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 Netto dataset to identify underserved regions in Poland for potential market expansion."
  • "Identify regions in Poland where Netto has a disproportionately strong or weak presence relative to population density."
  • "Identify fast-growing suburban areas in Poland that currently have limited access to nearby supermarkets."

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.