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Description
SPAR Supermarket Locations Dataset – NorwayQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI SPAR Norway consists of neighborhood supermarkets that focus on fresh food and personal service, often located in residential areas. It is managed by NorgesGruppen under a franchise license from SPAR International. There are 290 SPAR Supermarkets as of 29 May 2026 in Norway. This dataset is compiled and
SPAR Norway consists of neighborhood supermarkets that focus on fresh food and personal service, often located in residential areas. It is managed by NorgesGruppen under a franchise license from SPAR International.
There are 290 SPAR Supermarkets as of 29 May 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all SPAR 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: 290 SPAR supermarkets in Norway
- 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: 29 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
- Town
- 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)99%
- Web Address99%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the SPAR dataset in Norway
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 629b409... | SPAR (Alvdal) | 62.108518 | 10.632225 | 2560 | 16 Steia, 2560, Alvdal, Norway |
| 7d0d4c2... | SPAR (Gaupne) | 61.403418 | 7.295272 | 6868 | 5 Rådhusvegen, 6868, Luster, Norway |
| 62693da... | SPAR (Svarstad) | 59.401157 | 9.962276 | 3275 | 25 Lågaveien, 3275, Larvik, Norway |
| 9f6bf74... | SPAR (Uskedalen) | 59.931782 | 5.859657 | 5463 | 13 Sandavegen, 5463, Kvinnherad, Norway |
| 4d8c191... | SPAR (Jondal) | 60.275544 | 6.251812 | 5627 | 5 Belsnesvegen, 5627, Ullensvang, 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.
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 29 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 SPAR locations in Norway is found in Vestlandet (112 sites, equivalent to 7.8 SPAR supermarkets per 100,000 residents). This is followed by Oslo Og Viken (52 sites; 2.51 per 100,000) and Agder Og Sør-Østlandet (51 sites; 6.67 per 100,000). From a market-penetration perspective, Vestlandet has the highest brand density at 7.8 locations per 100,000 people (population: 1,435,000), making it the most saturated region for SPAR in Norway. By contrast, Oslo Og Viken records only 2.51 locations per 100,000 residents (population: 2,070,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Norway
Brand bundle
Top 9 Grocery Brands in Norway - €240
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 Norway - 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these SPAR 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 SPAR 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?
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- 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.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
Frequently Asked Questions
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Q: How recent is this dataset?
A: This dataset was last updated on 29 May 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known SPAR locations operating in Norway as of 29 May 2026.
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 Norway for potential market expansion.""Evaluate the balance between urban and rural coverage within the current SPAR network in Norway.""Evaluate how evenly SPAR locations are distributed across provinces, districts, or municipalities in 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.
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