Costa Coffee 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 Costa Coffee is a British multinational coffeehouse chain headquartered in Loudwater, Buckinghamshire. Founded in 1971 by Italian brothers Sergio and Bruno Costa, it operates thousands of stores globally and is the largest coffee chain in the UK. It has been a subsidiary of The Coca-Cola Company since 2019.There are 2,626 Costa Coffee 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 Costa Coffee 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: 2,626 Costa Coffee 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)64% Web Address55% Opening Hours66% Data Preview: Sample geospatial records from the Costa Coffee dataset in UK ID Location Title Latitude Longitude Postal Code Full Address 023c40b... Costa Coffee Drive Thru 50.957316 -1.449855 SO16 8AN Rownhams, SO16 8AN, Hampshire, United... 96c2e02... Costa Coffee 51.586121 -0.333383 HA1 2TU HA1 2TU, Greater London, United Kingdom 8ec80b9... Costa Coffee 55.168819 -1.686333 NE61 1PA Unit 3 Stanley Terrace, NE61 1PA, Nor... b2e636e... Costa Express 51.525695 -0.090480 EC1V 9NP Old Street, EC1V 9NP, Greater London,... 860179c... Costa Coffee 51.361542 1.153892 CT6 6GZ 6 The Boulevard, CT6 6GZ, Kent, Unite... 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 Costa Coffee locations in the UK is found in England (2301 sites). This is followed by Scotland (174 sites) and Wales (102 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 Costa Coffee 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? Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility. Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization. Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility. 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. CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records. Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations. Frequently Asked Questions Q: Are the datasets suitable for machine learning workflows? A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications. 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: Does the dataset include all locations in the country? A: The dataset is designed to provide a complete and standardized list of known Costa Coffee locations operating in the UK as of 27 August 2026. Q: How accurate are the coordinates? A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability. Q: Can I combine this dataset with administrative boundaries? A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this Costa Coffee dataset to identify underserved regions in the UK for potential market expansion." "Create a regional ranking of Costa Coffee coverage efficiency using population-to-store ratios across the UK." "Assess how effectively the current Costa Coffee network covers major commercial and residential hubs 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.