1.1 Our website uses cookies.
1.2 By using our website and agreeing to this policy, you consent to our use of cookies in accordance with the terms of this policy.
2.1 A cookie is a file containing an identifier (a string of letters and numbers) that is sent by a web server to a web browser and is stored by the browser. The identifier is then sent back to the server each time the browser requests a page from the server.
2.2 Cookies may be either "persistent" cookies or "session" cookies: a persistent cookie will be stored by a web browser and will remain valid until its set expiry date, unless deleted by the user before the expiry date; a session cookie, on the other hand, will expire at the end of the user session, when the web browser is closed.
2.3 Cookies do not typically contain any information that personally identifies a user, but personal information that we store about you may be linked to the information stored in and obtained from cookies.
2.4 Cookies can be used by web servers to identify and track users as they navigate different pages on a website and identify users returning to a website.
3.1 We use both session and persistent cookies on our website and may use cookies for the following purposes:
4.1 You can selectively allow and disallow cookies on your computer using these instructions from LifeWire.
4.2 Blocking all cookies will have a negative impact upon the usability of many websites.
4.3 If you block cookies, you will not be able to login and use PropertyData.
5.1 You can delete cookies already stored on your computer using these instructions from LifeWire.
5.2 Deleting cookies will have a negative impact on the usability of many websites, including PropertyData.
6.1 If you have any questions about our cookie policy then contact us at www.propertydata.co.uk/contact
How PropertyData can help you
Be a smarter property investor using data
Some of the ways property investors use PropertyData to boost their returns
I'm an investor
Make data-driven development decisions
How property developers can use market research in decision-making
I'm a developer
Save time and impress your clients with data
How agents can use PropertyData to gain an edge on the competition
I'm an agent
Limit reached
Sorry, you've reached your monthly search limit.
Upgrade your account for more searches.
UpgradeUpgrade to download PDFs
There are many places in PropertyData to export data as well-formatted PDF files, including Local Data, Plot Map, Valuations, property reports and more.
| Download PDFs | Branded PDFs | |
| Basic | ||
| Standard | ||
| Pro | ||
| Unlimited |
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 2024-09-30, 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 2024-09-30, 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.