Kiwi Supermarket Locations Dataset – Norway

Kiwi Supermarket Locations Dataset – NorwayQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Kiwi is a leading Norwegian discount supermarket chain easily recognized by its distinctive green branding and focus on fresh produce. As part of NorgesGruppen, it is a market leader in the price sensitive segment of the grocery industry. There are 730 Kiwi Supermarkets as of 29 May 2026 in Norway. This

Kiwi is a leading Norwegian discount supermarket chain easily recognized by its distinctive green branding and focus on fresh produce. As part of NorgesGruppen, it is a market leader in the price-sensitive segment of the grocery industry.

There are 730 Kiwi Supermarkets as of 29 May 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Kiwi locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Kiwi dataset in Norway

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Kiwi locations in Norway is found in Oslo Og Viken (279 sites, equivalent to 13.48 Kiwi supermarkets per 100,000 residents). This is followed by Vestlandet (192 sites; 13.38 per 100,000) and Agder Og Sør-Østlandet (107 sites; 13.99 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 22.63 locations per 100,000 people (population: 380,000), making it the most saturated region for Kiwi in Norway. By contrast, Trøndelag records only 6.12 locations per 100,000 residents (population: 490,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Norway

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Norway: Map these Kiwi locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Norway: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Kiwi locations.
• Explore demographics data insights for Norway: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Explore a rich library of Norway-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 Norway

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.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Kiwi dataset to identify underserved regions in Norway for potential market expansion."
• "Identify regions in Norway where Kiwi has a disproportionately strong or weak presence relative to population density."
• "Analyze the relationship between Kiwi site distribution and regional economic activity across Norway."

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.