Some of the ways property investors use PropertyData to boost their returns
Identify investment areas
Choosing an area to invest in used to involve a hard work and guesswork. Now you can use PropertyData's national postcode table or postcode map to easily compare key investment metrics of postcode districts nationally.
Data points such as prices, rents, demographics and market composition help you to choose an area that fits your investment profile.
If you prioritise high rental yields, you can see the best yield yields in the UK in real time, with yields of over 8% available.
Sign up for freeAnalyse the local market
Draw any area in the UK to access instant local analytics more about the area's property market.
You'll find pricing, rental values, yields, capital growth, property stock analysis demographics and much more.
PropertyData members have access to the UK's most comprehensive and accurate price per square foot database.
Sign up for freeFind comparables
PropertyData is the quickest way to compare properties in a given area. View clean, simple property reports to help determine whether a property you are looking at is correctly priced for sale or rent.
Jump straight into the property portals where required for further information or to contact the agent.
Sign up for freeCompare areas side-by-side
Save areas side-by-side to compare key statistics such as yields, average prices and 3-year capital growth.
Review possible purchase areas, and monitor how areas in which you own properties are performing.
Sign up for freeSpecialist property sourcing lists
Our real-time algorithms scour the market for recently repossessed and unmodernised properties (plus other development opportunities like plots with planning permission) around the country.
PropertyData 'Max' subscribers get access to our daily-updated lists, maps and downloads.
Sign up for freeHi-res plot maps
High resolution maps of buildings and boundaries overlaid with data points showing properties for sale or let, planning permission applications and listed buildings.
Perfect for understanding a property's plot layout, identifying development potential, and due dilligence on nearby properties.
Sign up for freeBenchmark the rent you charge
Ensure you are charging an appropriate and competitive rent to minimise void periods and improve monthly return.
Analyse the local rental market and benchmark against similar properties.
Sign up for freeHow PropertyData can help you
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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.
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Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
The data is updated in near real-time.
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.
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.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
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.
The data is updated in near real-time.
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.
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.
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.
Property "price paid" data provided by the Land Registry.
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.
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 2022-03-31, although some sales that took place before this date may still be added in the coming months.
No additional processes are applied to this data.
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.
Property "price paid" data provided by the Land Registry, and Energy Performance Certificate (EPC) data provided by Ministry of Housing, Communities & Local Government.
We match the Land Registry data to EPC data provided by the MCHLG. 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.
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.
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 2022-03-31, although some sales that took place before this date may still be added in the coming months.
No additional processes are applied to this data.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
The data is updated in near real-time.
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.
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.
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.
Room let listings on SpareRoom, the UK's biggest room letting website.
The data is updated in near real-time.
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.
Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
The data is updated in near real-time.
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.
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.
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.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
The data is updated in near real-time.
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.
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.
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.
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.
Property "price paid" data provided by the Land Registry.
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
The data covers transactions in the last six years
No additional processes are applied to this data.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
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.
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.
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.
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.
Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.
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.
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.
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.
We receive data on the extent and corporate ownership of all land titles in England & Wales from the Land Registry.
The data is updated once per month when released, typically in the first few days of each calendar month.
This is an ownership snapshot - the data represents ownership as recorded by the Land Registry at the last monthly export.
No additional processes are applied to this data.
We source different expert forecasts Savills, Knight Frank, OBR
The data is updated annually when new forecasts are released, typically towards the beginning of the year.
We calculate a consensus forecast using a simple mean average.