M&S Supermarket Locations Dataset – UK

M&S Supermarket Locations Dataset – UK

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Marks & Spencer (M&S Food) is a premium British retailer celebrated for its high-quality food, innovative ready meals, and commitment to sustainable sourcing. Its Foodhalls are a staple of the UK high street, catering to quality-conscious consumers looking for premium everyday food products.

There are 1,121 M&S Supermarkets as of 4 August 2026 in the UK. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all M&S 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: 1,121 M&S supermarkets in the UK
  • 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: 4 August 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.

Map showing the geographical distribution of M&S locations in UK

Dataset fields included in the CSV:

  • GUID
  • Title
  • Group
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Town
  • Local authority
  • District
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)94%
  • Web Address94%
  • Opening Hours96%
  • Popularity Score100%

Data Preview: Sample geospatial records from the M&S dataset in UK

ID Location Title Latitude Longitude Postal Code Full Address
e30db16... M&S Foodhall (London) 51.547910 -0.075658 E8 2FA 51-57 Kingsland High Street, E8 2FA, ...
065493f... M&S Foodhall (Walton-on-Thames) 51.386635 -0.418520 KT12 2QS 20-32 Church Street, KT12 2QS, Surrey...
344b5d0... M&S Simply Food (London) 51.576096 0.028083 E11 2RL 157 High Street, E11 2RL, Greater Lon...
dc828f3... M&S (London) 51.415170 -0.181582 SW19 1DD 1 Merton High Street, SW19 1DD, Great...
5b6023f... M&S Simply Food (Kettering) 52.449697 -0.825055 NN14 2JQ Cockerel Rise, Desborough, NN14 2JQ, ...

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 4 August 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 M&S locations in the UK is found in England (959 sites). This is followed by Scotland (103 sites) and Northern Ireland (29 sites).

Learn more about the brand network in our report: View Report

Also available for the UK

Brand bundle

Top 18 Grocery Brands in the UK - €420

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 the UK - 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 contact@geolocet.com.

Who uses this data?

  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

Frequently Asked Questions

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 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: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

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: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

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 M&S dataset to identify underserved regions in the UK for potential market expansion."
  • "Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers."
  • "Create a regional ranking of M&S coverage efficiency using population-to-store ratios across the UK."

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.