Through our partnership with AirDNA, researchers can now access LSOA-level insights into the UK’s short-term rental market through our new open AirDNA Airbnb Property Performance dataset.
Available to download now via the HASP data catalogue. This dataset draws on details from more than 1.7 million Airbnb property listings and over 90 million guest stays, providing annual indicators of Airbnb activity and performance across 43,900+ neighbourhoods (LSOAs) throughout the UK from 2015 onwards.
What’s included
- Airbnb market activity: Annual counts of active listings and guest stays, helping users understand the scale and distribution of short-term rentals across the UK.
- Property performance metrics: LSOA-level measures of revenue, occupancy rates, guest ratings and review counts, including median, upper and lower quartile values.
- Property and host characteristics: Information on property types (entire homes, private rooms, hotel rooms and shared rooms), market segments (budget to luxury), and host profiles ranging from single-property hosts to large portfolio operators.
Why use this data?
This dataset provides an accessible, entry-level route into our AirDNA collection, offering a streamlined alternative to our more detailed Safeguarded datasets while still supporting robust, meaningful analysis of the UK’s short-term rental market.
By aggregating data to LSOA and yearly resolution, the dataset enables users to explore geographic variation and long-term trends in short-term rentals while retaining key indicators of market performance and composition. It is particularly useful for understanding the relationship between tourism, local housing markets and place-based economic activity.
Well suited to teaching
This dataset is well suited to teaching and student research, offering a straightforward way to explore real-world questions relating to tourism, housing, local economies and spatial inequality.
With coverage across the whole UK and annual data spanning more than a decade, it provides an excellent resource for practical exercises in data analysis, mapping, visualisation and policy evaluation.
Examples of potential use
- Explore the geography of Airbnb activity across the UK
- Investigate links between short-term rentals and housing affordability
- Compare occupancy rates and revenues between regions and neighbourhoods
- Examine changes in Airbnb provision over time
- Analyse property and host characteristics across local markets
- Support tourism and local economic development research
- Create maps, dashboards and data visualisations of short-term rental activity
Access the data
You can now download the dataset through our catalogue:
AirDNA Airbnb Property Performance
This open dataset is updated annually, ensuring users have access to the latest available information on Airbnb property performance and market activity across the UK.
