Average length of short-term let stay Housing

This indicator shows the average length of stay (in nights) at a short-term let, in the United Kingdom, for Quarter 3 (July to Sept) 2023 to Quarter 2 (Apr to Jun) 2025.

Published on:
04 December 2025

Selected areas:

  • United Kingdom

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Map

Average length of short-term let stay

Average length of stay (in nights) at a short-term let, lower tier/unitary authorities, Q2 2025

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Average length of short-term let stay

Average length of stay (in nights) at a short-term let, lower tier/unitary authorities, Q3 2023 to Q2 2025

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Bar chart

Average length of short-term let stay

Average length of stay (in nights) at a short-term let, lower tier/unitary authorities, Q2 2025

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Table

Average length of short-term let stay

Average length of stay (in nights) at a short-term let, lower tier/unitary authorities, Q3 2023 to Q2 2025

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Interpretation

Analysis uses data from online collaborative economy platforms Airbnb, Booking.com and Expedia Group.

Average length of stay is calculated by dividing the number of nights by the number of stays.

The data have a strong seasonal trend. Therefore, changes over time should generally be compared year-on-year, rather than month-on-month or quarter-on-quarter.

While these statistics are believed to cover a large proportion of short-term lets activity in the UK, they do not cover all activity, as data from other providers and platforms are not included.

Get the data

You can download this dataset in an XLSX, CSV or CSVW format, or download all available datasets in an XLSX or JSON-Stat format.

The original source data for this indicator can be found on the following page: Office for National Statistics(opens in a new tab).

Information on the strengths and limitations of the Explore Local Statistics service and methods used is available in the quality and methodology information (QMI) report.

Other indicators

Average length of short-term let stay is one of 104 local indicators on the Explore local statistics service. See the full list of local indicators.