All Restaurant Locations in the UK: Complete Geographic Dataset Available for Download

All Restaurant Locations in the UK: Complete Geographic Dataset Available for DownloadAll Restaurants locations in the UK complete national dataset This dataset contains a complete, geocoded collection of Restaurants in the UK, including branded chains and independent locations. It provides a complete national coverage with 104,260 verified locations suitable for territory planning, market sizing and spatial analysis. Last updated: 27 March 2026. Dataset fields included in the CSV: GUID Title Latitude Longitude Street No Street Town

All Restaurants locations in the UK - complete national dataset

This dataset contains a complete, geocoded collection of Restaurants in the UK, including branded chains and independent locations. It provides a complete national coverage with 104,260 verified locations suitable for territory planning, market sizing and spatial analysis.

Last updated: 27 March 2026.

Dataset fields included in the CSV:

• GUID
• Title
• Latitude
• Longitude
• Street No
• Street
• Town
• Admin_level_1
• Admin_level_2
• Local authority
• Postal Code
• Address
• Wheelchair
• Phone
• Website
• Opening hours

Brand distribution

• ASK Italian – 62 locations in the UK
• Burger King – 567 locations in the UK
• Cooplands – 159 locations in the UK
• Five Guys – 176 locations in the UK
• German Doner Kebab – 159 locations in the UK
• Greggs – 2,761 locations in the UK
• Hotel Chocolat – 169 locations in the UK
• KFC – 980 locations in the UK
• McDonald's – 1,493 locations in the UK
• Nando's – 479 locations in the UK
• Papa Johns – 399 locations in the UK
• Pepe's – 244 locations in the UK
• Pizza Hut – 402 locations in the UK
• PizzaExpress – 359 locations in the UK
• Pret A Manger – 479 locations in the UK
• Subway – 2,050 locations in the UK
• Taco Bell – 150 locations in the UK
• wagamama – 168 locations in the UK
• Wendy's – 60 locations in the UK
• Zizzi – 133 locations in the UK

Restaurants distribution by Country

• England: 87,850 restaurants
• Scotland: 7,955 restaurants
• Wales: 4,694 restaurants
• Northern Ireland: 2,994 restaurants

Instant download of the complete locations dataset for the UK

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.

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

Related datasets and resources

• Demographics dataset for the UK (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
• Explore demographics data insights for the UK: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
• Income indicators dataset for the UK (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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 [email protected].