Coop Supermarket Locations Dataset – UK
Coop Supermarket Locations Dataset – UK
The Co-op is a unique British consumer cooperative that operates thousands of convenience stores across the UK, emphasizing community support and ethical sourcing. It is a leader in fair trade and local sustainability initiatives within the retail sector.
There are 3,831 Coop 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 Coop 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: 3,831 Coop 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.
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)90%
- Web Address91%
- Opening Hours92%
- Popularity Score100%
Data Preview: Sample geospatial records from the Coop dataset in UK
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| acbff27... | Co-op Food (Walney) | 54.104537 | -3.252381 | LA14 3AN | Plymouth Street, LA14 3AN, Westmorlan... |
| b423e58... | Co-op Food (Crownhill) | 50.407892 | -4.132833 | PL6 5AD | 27 Morshead Road, PL6 5AD, Plymouth, ... |
| 73b8f60... | Co-op Food (Ore) | 50.872298 | 0.609036 | TN35 5EA | 4-6 Fairlight Road, TN35 5EA, East Su... |
| 798baa5... | Co-op Food (Hamilton) | 55.763542 | -4.048275 | ML3 8HU | Mill Road, ML3 8HU, South Lanarkshire... |
| 00c9305... | Coop (The Royal Town of Sutton Coldfield) | 52.566143 | -1.807259 | B75 7RU | 192 Rectory Road, Birmingham, B75 7RU... |
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 Coop locations in the UK is found in England (3243 sites). This is followed by Scotland (383 sites) and Wales (162 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 →Related geospatial datasets
- Demographics dataset for the UK: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Coop locations.
- Explore demographics data insights for the UK: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for the UK (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Income distribution and socio-economic patterns in the UK - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of the UK-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 the UK
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?
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
Frequently Asked Questions
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
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: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Coop dataset to identify underserved regions in the UK for potential market expansion.""Analyze which Coop locations in the UK are positioned in highly competitive retail zones versus standalone markets.""Generate regional density heatmaps showing where Coop has the strongest and weakest retail presence in 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.