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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Mary Lins
West Palm Beach, US
★★★★★ 5
Wonderful, Gripping, Suspenseful, and Miraculous!
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The first thing I thought when I started reading Ann Patchett’s new novel, “Whistler” was: “Oh no, this is SO GOOD it’s going to go by too quickly!” I was right, and the only remedy to that is to read it again – it’s that great. Patchett has created a matryoshka doll of a novel with a story inside of a story inside of story, and they are ALL wonderful, gripping, suspenseful, and miraculous! The inciting incident that sets off the story takes place in the Metropolitan Museum of Art in NYC. As Daphne and her husband Jonathan take in the art, Jonathan notices that they are being followed by an older man who turns out the be Daphne’s former stepfather, Eddie, whom she hasn’t seen in 44 years (since she was nine) but who was pivotal in how her life unfolded. Through the narrative, Daphne, and her sister Leda, relive long forgotten memories from their brief but impactful time with Eddie, now understanding what they couldn’t as children. Patchett has written about blended families, divorce, and stepparenting before, in her wonderful 2016 novel “Commonwealth”, and in some of the personal essays about her own childhood. So, she knows what she’s talking about! Patchett beautifully evokes childhood nostalgia and skillfully portrays the way the past can sometimes seem more immediate than the present, highlighting reconnection, reconciliation, and grace. Thank you yet again, Ann; this was just the book I needed right now!
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V. Rock
Louisville, US
★★★★★ 5
One of Ann Patchett’s best novels.
Format: Hardcover
“Whistler,” by Ann Patchett, Harper, 320 pages, June 2, 2026. Daphne and Jonathan Fuller are visiting the Metropolitan Museum of Art when Jonathan notices an older man following them. They go up to the next floor and the man is still following them. It turns out he is Eddie Triplett, Daphne’s former stepfather, who was married to her mother for a little more than year when Daphne was nine. They haven’t seen each other in almost 45 years, but he recognizes her. It is a chance meeting. Daphne teaches literature at a private school and Jonathan is a retired hospital administrator. Eddie is an editor at Random House, but he wasn’t at the office this day because of a water main break. Daphne visits her sister, Leda, to tell her about the encounter. Flashback to 1980, when Leda was having an appendectomy, Eddie was driving Daphne to the hospital in a snowstorm and they were in an accident. Daphne had to climb out of a car window and walk for help. After that, her mother divorced Eddie. Of course, there’s more to what happened. This is a wonderful story about adults looking back at the choices they’ve made and the choices that others made for them. It is about the small things that impact our lives and memories of childhood. It is about families, love and bravery. This is one of Ann Patchett’s best novels.
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Ellen
Charlottesville, US
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Another amazing book from a talented author
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This is one of my favorite authors so I knew I would enjoy this book and once again, the characters seemed so real like people I knew personally. I very much enjoyed Daphne and Eddie’s relationship and I loved learning about Eddie and Daphne’s mother’s life together and why things played out the way they did. This book truly shows how people can impact us forever regardless of how long they were in our life. There was so much beauty in this book despite the loss and sadness at times. I received an advance review copy for free, and I am leaving this review voluntarily.
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Reviewed in the United States on June 2, 2026
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I picked this book for my brother-in-law when we were celebrating my sister’s pregnancy, and the title ‘Why a daughter needs a dad’ sealed the deal. The illustrations are beautiful and full of tenderness. The messages on each page are simple and meaningful. I could so clearly picture him reading it to his baby girl someday. It’s the kind of book that isn’t just read – it’s felt. A thoughtful gift for someone you love – especially during such a special season of life.
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Reviewed in the United States on February 13, 2026
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Cameron Hutcheson
Battle Creek, US
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Great book, well written!
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I love reading this with my daughter, we have so much fun and the book is great! Fun pictures, fun ideas and very entertaining.
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Reviewed in the United States on April 30, 2026

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