Holiday let properties have become one of the most dynamic sectors in the UK property market, driven by the surge in domestic tourism and the popularity of platforms such as Airbnb and Vrbo. Unlike standard rental properties, holiday lets are designed for short-term stays, catering to travellers seeking coastal retreats, countryside escapes, or city break accommodation.
With increased potential for higher yields, seasonal demand peaks, and attractive tax incentives, holiday lets offer unique advantages for investors. PropertyData equips you with the tools to identify, analyse, and source profitable holiday let opportunities anywhere in the UK, enabling you to make informed, data-driven investment decisions.
A holiday let property is a furnished home made available for short-term rental to holidaymakers, often for a few nights to several weeks. Typically located in high-demand tourist areas, they differ from standard buy-to-let properties in several important ways:
While traditional buy-to-lets focus on consistent, long-term occupancy, holiday lets offer the potential for greater annual returns if managed effectively.
Holiday lets can be an excellent investment, offering:
However, performance depends on location, property appeal, and effective management. PropertyData tools help pinpoint where demand and yield potential align.
Finding the right property begins with targeted research:
This approach ensures you invest where guest demand supports consistent bookings and strong income generation.
Several factors influence whether a holiday let generates a strong return:
Investors who meet the criteria for FHL status can benefit from:
To qualify, a property must be:
Regulations vary by location. In some regions, local authorities have introduced stricter controls, including:
Confirming all requirements with the local council before purchasing or converting a property is essential.
Certain local authorities have implemented Article 4 directions, removing permitted development rights for converting residential homes into holiday lets without planning consent. Community consultations can also influence policy, particularly in regions with high tourism and limited housing stock.
Checking local rules early in your search can prevent delays or compliance issues later.
PropertyData offers a competitive advantage by delivering:
With accurate, current data, you can confidently identify the most promising holiday let investments.
PropertyData enables side-by-side comparison of yields, allowing you to:
This data-driven approach supports smarter investment decisions.
PropertyData's platform is intuitive, offering guided features for newcomers, including:
First-time investors can make informed decisions with reduced risk by removing the guesswork from property sourcing.
Start your holiday let search with PropertyData's Holiday Lets Sourcing Tool today and unlock the most profitable opportunities in the UK short-term rental market.
Are UK holiday lets a good investment?
With the correct location and management, holiday lets can deliver strong seasonal returns and benefit from favourable tax treatment.
What is the difference between an Airbnb and a holiday let?
An Airbnb is a platform for booking short-term stays; a holiday let refers to the property itself. Many holiday lets are marketed through Airbnb.
What are the new rules for holiday lets in the UK?
Some regions require planning permission or licences; always check with local councils for up-to-date regulations.
Where is the most profitable place in the UK to own a holiday let?
High-demand areas such as Cornwall, the Lake District, and parts of Scotland often perform well, but yield varies by property and season.
What qualifies as a holiday let?
A furnished property available for short-term rental to the public that meets FHL criteria.
What is the average profit on a holiday let?
Returns vary, but well-managed properties in popular locations can outperform traditional buy-to-lets.
Do I need planning permission for a holiday let property?
Sometimes, requirements depend on local regulations, especially in tourism hotspots.
Tip: use your home postcode and choose the maximum distance you would travel to an investment property
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Transparent data promise
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What are the statistics used?
Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How do you know the square footage of properties?
We use proprietary technology to read the square footage of properties from agent floorplans. Although we cannot determine the square footage for all properties, we can usually get sufficient coverage. Agents are sometimes known to inflate square footage, and this should be borne in mind as a weakness of this data.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property "price paid" data provided by the Land Registry.
How often is the data updated?
Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.
What time period does the data cover?
You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2025-12-15, although some sales that took place before this date may still be added in the coming months.
How is the raw data processed?
No additional processes are applied to this data.
What are the statistics used?
Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property "price paid" data provided by the Land Registry, and Energy Performance Certificate (EPC) data provided by Department for Levelling Up, Housing & Communities.
How do you know the square footage of properties?
We match the Land Registry data to EPC data provided by the Department for Levelling Up, Housing & Communities. Due to the fact that not all properties sold have had an EPC and vagaries of addressing in the UK, we are not able to determine the square footage of all properties, but we can usually get sufficient coverage.
How often is the data updated?
The private paid data is updated once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month. The energy performance certificate database is updated monthly.
What time period does the data cover?
You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2025-12-15, although some sales that took place before this date may still be added in the coming months.
How is the raw data processed?
No additional processes are applied to this data.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Room let listings on SpareRoom, the UK's biggest room letting website.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from SpareRoom, they are soon removed from this tab.
How is the raw data processed?
Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale.
What is the yield calculation used?
The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The data is updated in near real-time.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from Zoopla, Rightmove or Spareroom, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale. For the SpareRoom data, hypothetical properties consisting of two to six average double rooms with shared bathrooms are used to derived average rent. For all sources, listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What is the yield calculation used?
The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property "price paid" data provided by the Land Registry.
How often is the data updated?
Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.
Zoopla Zed-index
What time period does the data cover?
The data covers transactions in the last six years
How is the raw data processed?
No additional processes are applied to this data.
What are the statistics used?
The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.
What time period does the data cover?
The price paid data shown goes back to January 2015. The listings data is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
What are the calculations used?
Average sales per month are for the last 3 finalised months. Turnover is average sales per month divided by total for sale. Inventory is 100 divided by turnover.
Where does the raw data come from?
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
How often is the data updated?
The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.
What time period does the data cover?
This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.
How is the raw data processed?
Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
Where does the raw data come from?
We receive data on the extent and corporate ownership of all land titles in England & Wales from the Land Registry.
How often is the data updated?
The data is updated once per month when released, typically in the first few days of each calendar month.
What time period does the data cover?
This is an ownership snapshot - the data represents ownership as recorded by the Land Registry at the last monthly export.
How is the raw data processed?
No additional processes are applied to this data.
Where does the raw data come from?
We source different expert forecasts Savills, Knight Frank, OBR
How often is the data updated?
The data is updated annually when new forecasts are released, typically towards the beginning of the year.
How is the raw data processed?
We calculate a consensus forecast using a simple mean average.
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