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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Ashley Morgan
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ABSOLUTELY A MUST for Omegaverse Girls!!!
I ABSOLUTELY LOVE Jillian West and her books!!! I’m so happy I already bought book two and now I have to buy the others for the Assurance Security series!! Not gonna lie Val kind of annoyed me at the beginning but she grew on me!! Her men are chef’s kisses!!! Holt annoys me some but I can let it slide. I already bought part two so I’m going to be reading that in between work phone calls!!!! DON’T TELL MY BOSS 😂😂😂😂
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Baby bumps and bodyguards
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Dark, emotional, and unexpectedly tender, Not Ready is an omegaverse romance that delivers found family feels, fierce protectiveness, and a very pregnant heroine who refuses to break. Vale’s on the run from a stalker, but lands in the arms of three private security alphas, cue the swoony tension, fake marriage twist, and slow-burn heat. It’s a little gritty, a little soft, and a whole lot addictive. If you love protective alphas, high stakes, and heroines with quiet strength, this one’s a must-read.
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Shianne Whipple
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Strong Omegaverse Comfort and a Attention Grabbing Plot
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Jillian West never misses when it comes to Omegaverse, and Not Ready is no exception. This story was the perfect blend of cozy comfort and emotional depth while still delivering a strong plot. Vale is such a powerful heroine, she is strong, capable, and determined but I love that she still allows her pack to love and take care of her. It’s that balance of independence and vulnerability that makes her so relatable. The relationship dynamics were amazing: Bishop is steadfast and completely head over heels, Mercy is skeptical but protective in his own way, and Holt is the hesitant one whose slow fall is so satisfying to watch unfold. The romance hits that sweet spot between insta-love and cautious build, keeping me hooked the entire way through. And that ending. Oh my god, the cliffhanger! I need the next book in this duet immediately.
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NLB
West Palm Beach, US
★★★★★ 5
Interesting
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So I will say I enjoyed the story, for sure had its moments where it dragged but it was a great story. I really liked that omegas picked their alphas/make the pack. Normally the Alphas make it and the omega fits in with them which is great but I enjoyed this new version where all the power basically went to the omega. It was a nice change of pace. I can admit some of the weird bedroom stuff with her being pregnant was odd, it’s really not hard to do stuff when pregnant (I know I’ve had two and it’s normal and even encouraged at the end especially if you want the baby out). But I like the story as a whole and will read the second, I do hope the next one isn’t dragged bc it stopped being action or tense after she met her alphas and I don’t think it was brought up or properly done when they tried to do it. More sweet after she left.
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Altairjones
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I usually like Jillian West’s books but this one was missing a lot for me. The pregnancy didn’t come across as real. She’s on her feet for 12 hour days but is perfectly healthy at 8 months pregnant? Yet the week she moves in all of a sudden she’s not? She is planning on actually running during one of the plot buildups. But at 8 months pregnant that’s incredibly hard to do. The lack of breathing ability and lung space, the change in body center, mass, and gravity. All of it prohibits running, unless you’re an athlete this didn’t come off as at all realistic. I didn’t feel any connection with the alphas. There wasn’t any emotional connection. It could be because of the tense it was written in. But I didn’t get any deep feelings out of this. It came across as checking off boxes. Even the spicy scenes weren’t really believable for me. I wanted to see them fall for her, and it just kind of all fizzled. Even Bishop. One thing I did really like was the ending. I did not see it coming and I’m interested in reading book two because of it. But on the whole this book was mostly disappointing for me.
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Reviewed in the United States on March 16, 2024

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