SPAR Supermarket Locations Dataset – Denmark
SKU: 97395564376

SPAR Supermarket Locations Dataset – Denmark

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Description

SPAR Supermarket Locations Dataset – DenmarkQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI SPAR Denmark consists of independently owned neighborhood stores that are part of the global SPAR network and managed locally by Dagrofa. These stores focus on providing fresh, local products and essential services to their respective communities. There are 149 SPAR Supermarkets as of 28 May 2026 in Denmark. This dataset

SPAR Denmark consists of independently owned neighborhood stores that are part of the global SPAR network and managed locally by Dagrofa. These stores focus on providing fresh, local products and essential services to their respective communities.

There are 149 SPAR Supermarkets as of 28 May 2026 in Denmark. 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: 149 SPAR supermarkets in Denmark
  • Contents: Coordinates, addresses, postal codes, and administrative divisions
  • 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: 28 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
  • City
  • Kommune
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair

Data Preview: Sample geospatial records from the SPAR dataset in Denmark

ID Location Title Latitude Longitude Postal Code Full Address
6b5f59a... SPAR (Tønder) 54.939144 8.873033 6270 1 Kongevej, Tønder, 6270, Denmark
f93df25... SPAR (Hjørring) 57.471914 9.797224 9800 82 Strandvejen, Hjørring, 9800, Denmark
6de6d4e... SPAR (Ejstrupholm) 55.983184 9.285251 7361 33 Søndergade, Ejstrupholm, 7361, Den...
a161f34... SPAR (Stenløse) 55.791289 12.263773 3660 Stenløse, 3660, Denmark
e070131... SPAR (Frederiksværk) 56.017087 12.046810 3300 155 Helsingevej, Frederiksværk, 3300,...

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 28 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 Denmark is found in Region Nordjylland (47 sites, equivalent to 7.97 SPAR supermarkets per 100,000 residents). This is followed by Region Syddanmark (40 sites; 3.23 per 100,000) and Region Midtjylland (31 sites; 2.25 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 7.97 locations per 100,000 people (population: 590,000), making it the most saturated region for SPAR in Denmark. By contrast, Region Hovedstaden records only 0.98 locations per 100,000 residents (population: 1,940,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Brand bundle

Top 12 Grocery Brands in Denmark - €244

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 Denmark - 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?

  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

Frequently Asked Questions

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: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: Can I use this dataset for proximity analysis?

A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.

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: Can this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

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 Denmark for potential market expansion."
  • "Identify SPAR sites with large footprints in Denmark that are optimal candidates for EV charging infrastructure overlays."
  • "Analyze proximity between SPAR locations and major highways, ring roads, or arterial transport corridors in Denmark."

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: 97395564376

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