SKU: 57414480001

Netto Supermarket Locations Dataset – Germany

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Description

Netto Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Netto Marken Discount is a major German discount supermarket chain owned by EDEKA. It offers a wide range of groceries and is known for its yellow and red branding and extensive selection of beverages. There are 4,765 Netto Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by

Netto Marken-Discount is a major German discount supermarket chain owned by EDEKA. It offers a wide range of groceries and is known for its yellow-and-red branding and extensive selection of beverages.

There are 4,765 Netto Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Netto 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: 4,765 Netto supermarkets in Germany
  • 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: 27 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
  • Area
  • City
  • Admin_level_1
  • Admin_level_2
  • Gemainde
  • Federal State
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Web Address97%
  • Opening Hours99%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
bc10370... Netto Marken-Discount (Aschersleben) 51.762839 11.450424 06449 38 Magdeburger Straße, Aschersleben, ...
e7215be... Netto Marken-Discount (Könnern) 51.672548 11.774973 06420 5d Magdeburger Straße, Könnern, 06420...
9fdfa99... Netto Marken-Discount (Großheide) 53.593284 7.345251 26532 7 Coldinner Straße, Großheide, 26532,...
c9679db... Netto Marken-Discount (Stadtbezirk 2) 51.214059 6.815864 40231 129 Fichtenstraße, Düsseldorf, 40231,...
36abec8... Netto Marken-Discount (Düren) 50.795748 6.487367 52349 4 Nideggener Straße, Düren, 52349, Kö...

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 27 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 Netto locations in Germany is found in Nordrhein-Westfalen (903 sites, equivalent to 5.02 Netto supermarkets per 100,000 residents). This is followed by Bayern (727 sites; 5.5 per 100,000) and Baden-Württemberg (460 sites; 4.12 per 100,000). From a market-penetration perspective, Mecklenburg-Vorpommern has the highest brand density at 15.05 locations per 100,000 people (population: 1,615,000), making it the most saturated region for Netto in Germany. By contrast, Hamburg records only 2.2 locations per 100,000 residents (population: 1,860,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for Germany

Brand bundle

Top 27 Grocery Brands in Germany - €480

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 Germany - 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?

  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • 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.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.

Frequently Asked Questions

Q: Is the dataset standardized for analytics workflows?

A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.

Q: Does the dataset include accessibility-related attributes?

A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.

Q: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

Q: How accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Q: Can this dataset support territory optimization?

A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

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 Germany for potential market expansion."
  • "Identify locations where multiple Netto sites compete within overlapping catchment areas in Germany."
  • "Measure average inter-store distance between Netto locations across different regions of Germany."

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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SKU: 57414480001

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Jarrett Austin pirtle
Alexandria, US
★★★★★ 5
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Color: Multi Squeaker Balls, Size: Medium, Style: 4-Pack
This dog squeak ball has been a big hit in my home and keeps my dog entertained for long periods of time. The squeaker really grabs their attention and encourages play, tapping into their natural instincts to chase and fetch. My dog especially loves how it bounces and squeaks, making it perfect for both indoor and outdoor play. It’s lightweight and easy for them to carry around, even for quick games of fetch in the yard. In terms of durability, it has held up pretty well so far. The squeaker may not last forever with heavy use, but the ball itself still stays in good shape. Overall, it’s a fun, engaging toy that keeps my dog active and happy.
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Reviewed in the United States on April 29, 2026
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Precise Disarray
Lexington, US
★★★★★ 4
budget friendly for dogs who lose balls in the creek
Color: Multi Squeaker Balls, Size: Medium, Style: 4-Pack
Not great quality, but works for our needs. I have a ball crazy lab. She loves for me to throw a ball using the Chuck-it Ball Launcher. We do this in our wide back yard that butts up to a creek. At some point during her run and fetch, she will take a quick detour right into the creek. She nearly always still has the ball, but once in awhile it is lost. Not wanting to chance it on more pricy (and more durable) balls, I get these or something like these. They dont cost much, yet they do the job. I' not upset if one gets sacrificed to the creek waters and mud. Since the balls end up getting wet often, they will kinda fall apart over time (chasing, kicking, throwing, retrieving, dog saliva etc). But she doesn't chew on them. Glad she doesnt as tennis balls arent good on teeth, but even if it was ok, the balls probably would be breached easily. SO get these if you are like me and want a ball that does the job but arent a total financial loss if get lost or destroyed. For indoor play we and by we I mean our 3 dogs demand that we use the rubbery max glow chuck-it ball. And will ignore this style ball. Yes, I am well trained. lol
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Reviewed in the United States on November 11, 2024
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Lisa
Belleville, US
★★★★★ 1
These balls SUCK! External squeakers, minimal bounce and blue that is too dark.
Color: Multi Squeaker Balls, Size: X-Small, Style: 8-Pack
We have 2 little dogs in our home - a 1.5 year old Pomsky, and a 9 year old Pekingese. My Peke has shown no interest in tennis balls for years, until today! Imagine my excitement! Until she promptly destroyed the first squeaker on one of the blue balls. When I removed it, she began peeling the logos off the ball, and then started tearing the fuzz off! My dog has never destroyed any toy in her life, so this was shocking! Then the Pomsky decided that she wanted to play fetch with the new balls - she has Golden Retriever energy - and decided to destroy a squeaker in the midst of playing! She also wasn't nearly as interested in these tennis balls as her other tennis balls that she inherited from my Peke. 1. STUPID design, with the squeakers sticking out of the balls (the don't sit flush), so they are asking to get chewed or pulled out by any dog, even elderly 10 lb dogs! And a 9 lb young adult. 2. They are difficult to squeak compared to their Kong tennis balls, hence why the Pomsky wasn't interested for long. 3. They don't bounce as much as the Kong tennis balls, either, which made them less than exciting for the athletic and agile Pomsky. Meh. We wanted to get the smallest tennis balls we could get (1.5 inch) because neither dog will play with the 2 inch or bigger ones, but we also wanted to get colors they could easily see! The Pomsky clearly prefers the yellow balls to any other color (red, orange, green, darker blue, watermelon design), so we wanted to get like a bright blue or turquoise couple of balls to appeal to them! Well, my senior Peke liked the blue ones the most, but also liked the red and orange. Pomsky didn't like the blue ones. I think they're too dark of a blue to be easily seen in our home afternoons and evenings in the winter. We love Outward Hound toys in our house, but these were an expensive FLOP. They are the right size, but WHY did they put the squeakers so visible and appealing to dogs? I've never seen the squeaker in the Kong tennis balls. My advice is that Kong seems to make the best tennis balls for toy breeds, in the 1.5" size. Outward Hound dropped the ball here... no pun intended. The blue is darker than the photos depict (may be better in natural sunlight outdoors), the squeakers are external, and they barely bounce at all. Our next step will be to get the pressurized bright blue tennis balls from another brand, in hopes that the bounce and visibility will outweigh the lack of squeakiness. If those don't work, I guess we'll stick to the classic neon yellow Kong tennis balls! At my local Target, they only have multicolor packs of them, and the dark blue, red and green get completely ignored. *Dogs can only see shades of blues, yellows and black, grey and white. While some dogs may not seem to care about color, our Pomsky clearly does. :(
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Reviewed in the United States on December 21, 2023
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Hummingbird
Battle Creek, US
★★★★★ 5
My Dog Loves Them
Color: Multi Squeaker Balls, Size: Small, Style: 8-Pack
These cute little squeaky balls are the perfect size for my Shih Tzu. She loves to chew on them and make them squeak all the time, so they are durable. I would purchase them again.
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Reviewed in the United States on May 16, 2026
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AC
Battle Creek, US
★★★★★ 3
Not super durable but good squeak while they work
Color: Multi Squeaker Balls, Size: Large, Style: 4-Pack
My dog loves these but they break very quickly. I've got an older set that was incredibly durable, but these all stopped squeaking/got holes after the first or second play session
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Reviewed in the United States on May 30, 2026

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