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Be a smarter property investor using data

Some of the ways property investors use PropertyData to boost their returns

View property data on our live updated map of postcode districts

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.

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Price analysis for properties by size for any local area

Analyse 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.

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Find comparable properties and view simple property reports with important data

Find 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.

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Save dashboards to your account to compare local property data side-by-side

Compare 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.

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Our property lists are updated daily, including repossessed and unmodernised properties

Specialist 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.

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Use our plot map tool to access beautiful hi-res plot maps overlaid with important data

Hi-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.

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Determine the yields in local areas and benchmark the rent you charge your tenants

Benchmark 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.

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Zihao from Ealing, a happy user of PropertyData "I used to compare properties against the market by manually making a spreadsheet of similar properties from Rightmove listings. PropertyData has made this process 10x quicker and easier."
Zihao, Maida Vale
Rob from Ealing, a happy user of PropertyData "PropertyData helps me to identify possible property investment areas by comparing objective data, which I can then combine with personal knowledge and gut instinct to make a balanced decision."
Rob, Ealing

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National Data

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Local Data

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Sourcing

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Tools

Property valuation Development GDV HMO rental valuation Browser extension Mortgage finder Development calculator Build cost calculator Stamp duty calculator Yield calculator Cash flow calculator Tax calculator Internal area lookup

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Transparent data promise

Where does the raw data come from?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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 2019-12-26, 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 Ministry of Housing, Communities & Local Government.

How do you know the square footage of properties?

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.

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 2019-12-26, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents and 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 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?

Zoopla Zed-index

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

The data shows growth over the last five years.

How is the raw data processed?

No additional processes are applied to this data.

Where does the raw data come from?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents. Property "price paid" data provided by the Land Registry.

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 or agent's website, 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?

Listings data covering more than 95% of the UK market from portals Zoopla and OnTheMarket with additional data directly from various other agents.

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 or agent's website, 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?

The construction cost data is derived from an annual survey carried out by Turner & Townsend.

How often is the data updated?

The data is updated annually when the new cost survey data is released, typically around the middle of the year.

How is the raw data processed?

We select a subset of Turner & Townsend costs to display. 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.