Caffè Nero Food & Beverage Locations Dataset – UK

Quick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Caffè Nero is a European coffee house brand headquartered in London, England, specializing in Italian-style coffee and premium hot drinks. Established in its modern form in 1997 by Gerry Ford, it operates under The Nero Group and runs numerous coffee houses across the UK and internationally.There are 495 Caffè Nero Food & Beverages as of 27 August 2026 in the UK. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Caffè Nero 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: 495 Caffè Nero food & beverages in the UK Contents: Coordinates, addresses, postal codes, administrative divisions, and contact details 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: 27 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 Latitude Longitude Street No Street Town Local authority District Postal Code Address Wheelchair Phone Website Opening hours Data Quality Scorecard Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates) Contact Details (Phone)53% Web Address52% Opening Hours53% Data Preview: Sample geospatial records from the Caffè Nero dataset in UK ID Location Title Latitude Longitude Postal Code Full Address 3fde7e0... Caffè Nero 53.400834 -2.967726 L8 7NL Unit 2 Myrtle Street, L8 7NL, Merseys... bc9e4f2... Caffè Nero 52.281471 -1.589644 CV34 4BL 50 Brook Street, CV34 4BL, Warwickshi... 7a95e94... Caffè Nero 51.587883 -0.553822 SL9 8PE 53 Packhorse Road, SL9 8PE, Buckingha... 48d48f0... Caffè Nero 51.489487 0.283130 RM20 2ZQ RM20 2ZQ, Thurrock, United Kingdom fe7e1bb... Caffè Nero 51.237756 -0.206295 RH2 9AE High Street, RH2 9AE, Surrey, United ... 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 27 August 2026 ✅ Data looks right? Add to cart ↑ - or download the free sample first.Regional Distribution BreakdownLooking at the geographic distribution, the highest concentration of Caffè Nero locations in the UK is found in England (413 sites). This is followed by Northern Ireland (38 sites) and Scotland (30 sites).Learn more about the brand network in our report: View ReportAlso available for the UK Brand bundle Top 23 Fast Food and Restaurants Brands in the UK - €560 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 Fast Food and Restaurants 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 Caffè Nero 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? Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity. Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions. Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment. Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations. Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching. CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records. Frequently Asked Questions 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: Can I use this dataset for competitor benchmarking? A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands. Q: Are phone numbers and websites included? A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs. Q: Can this dataset be used for logistics planning? A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this Caffè Nero dataset to identify underserved regions in the UK for potential market expansion." "Identify isolated Caffè Nero sites in the UK that may face operational inefficiencies due to low regional clustering." "Using this Caffè Nero data, find high-traffic retail corridors in the UK with low food & beverages density for competitive positioning." 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.