Visits to Counties and Towns

In 2 minutes find out what the top 12 towns or cities are for holiday, business, VFR and study visitors in our video.

Download Excel tables showing how many visits were made by overseas residents to the UK's counties and towns.  Info on the number of nights they stayed and spend data is also available. Download a guide to pivot tables.

It is important to note that small sample sizes mean data should be treated with caution, and is not necessarily statistically robust.  To overcome the problem of small sample sizes why not consider taking a 'moving average' over three years or more as this will improve the reliability of the result.

Excel File

Top Towns Visited (xls) Go

Excel table showing the 20 most visited towns and cities by visitors from overseas.  Data goes back to 1999.

Excel File

Visits to Towns - Detailed Data (xls) Go

This Excel document allows you to see how many visitors from overseas went to different towns and cities in the UK. It also shows a breakdown of visits to each town by major overseas markets. You can view visit data for towns by journey purpose, and quarter.  Data is available from 2009-2013.  Data for many towns is based on small sample sizes, so using 3 or 4 year averages is highly recommended.

Excel File

County Trend Data by Purpose (xls) Go

 Excel table showing visits, nights, and spend data for the UK's counties.  Data can be viewed by journey purpose and country of residence.  It is recommended that users take a 3 year average when working with small sample sizes.

Excel File

County Accommodation Trend Data by Purpose 2013 (xls) Go

Excel table showing visits, nights, and spend data for visitors staying in different types of accommodation in the UK's counties.  Data can be viewed by journey purpose for 2013. 

Excel File

2001-12 County Accomm Trend Data by Purpose (xls) Go

Excel table showing visits, nights, and spend data for visitors staying in different types of accommodation in the UK's counties from 2001-2012.  Data can be viewed by journey purpose.  It is recommended that users take a 3 year average when working with small sample sizes.