The leading analytics tool for investors and developers

Used by investors, developers, and even homebuyers, PropertyData gives people the tools to make better decisions when buying UK residential property.

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The PropertyData process

Research local markets

Start with our research tools to shortlist areas and then analyse local areas in great detail. You'll find data on pricing, rental values, yields, capital growth, property stock analysis demographics and much more.

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Source opportunities

Our algorithms scan the market daily for properties that match specific buying strategies. Or try our off-market sourcing tool where you can send letters to property owners offering to buy their property.

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Evaluate properties

Use our Plot Map tool to confirm boundaries, building footprints, planning applications and much more. Or use our Valuation tool to get instant automated valuations for any urban or suburban property.

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What our subscribers say

Excellent 4.64 based on 297 reviews
Collected independently by

Harrison Q

Great product, would I highly recommend

21/04/2025

Jonathan C

Property data enables me to make informed decisions about potential property investments.

21/03/2025

Stephen D

We have been using PropertyData for several months and have made it our preferred research system.

13/02/2025

Mohammed

Important tool for all my property investment decisions.

12/02/2025

Mrs Sarah G

This has been invaluble over the last few months and very quickly able to analyse potential deals. As I am going on am also learning more and more things that it does-and its amazing. The team are also very responsive if you need to have anything answered. Highly recommend Sarah G

21/01/2025

Tom B

Property Data gives me all I need in regards of property search, analytics and automated alerts based on the filters I’ve set up. Very useful software for anyone in property business. Strongly recommend for both professionals and beginners.

14/01/2025

Harry D

If you're an investor this tool is essential. I use it when I'm sourcing properties all the time. I couldn't imagine myself without it now.

10/12/2024

Jamie K

Great piece of software!

23/11/2024

James F

Property data is great to work out whether a deal is good in a new location

22/11/2024

Acuity4Property L

I can honestly say that Property Data is a great tool for property research. Once you fully review the functions you will discover the potential benefits of available resources. Great product!

23/10/2024

Naresh B

Great source of information. Found my buy to let from data I used on the site.

18/09/2024

olufemi

really love the ease of use of the platform and also the different ways i can visualize data.. the chrome extension is a life saver as i can see immediately important metrics which can help me shortlist properties. would love to see the ability to stack different strategies and auto shortlisting.

30/08/2024

Anonymous

Excellent Platform for Property Insights & Investment Decisions!

22/03/2025

claire

Just thrilled with PropertyData as a tool to find available properties with very specific paramters in my recent hunt for someting in London. With the market being quite volatile, I wanted to be sure that I was well informed of the market conditions and did not want to be bamboozled by agents talking things up! (which of course is their job!) The search engine allowed me to see what had been agreed in the prevoius 3 months to 2 years as well as showing me the rental market. Finally, when I had forgotten to cancel my subscripton after having found a place, they very courtesously removed my "already taken" payment. This is how a company can earn trust and not become a faceless corporate "raider"! Would highly recommend and already have!

26/02/2025

Vicky H

I find property data excellent and very useful. I do like the various filters and the fact that you can search large and small areas

12/02/2025

Mr James B

Great service - really handy to have all the data in one place. I am impressed at Property Data's commitment to adding new features and am looking forward to checking out the new Article 4 mapping functionality as I currently pay for this data elsewhere. Thanks for the excellent product Property Data!!

12/02/2025

Stashna S

I’ve been using this property data app and it’s been a game-changer. The app is user-friendly, packed with detailed analytics, and helps me find great investment opportunities efficiently. Its tools for evaluating property potential and market trends are incredibly accurate and reliable. If you're serious about property sourcing, this app is a must-have!

14/01/2025

TUGRUL

I find propertyData very helpfull and usefull. It is great guide in the property search

12/12/2024

Liban B

A very insightful website which has been extremely valuable to analyse property market trends, local areas and property deals.

10/12/2024

Yeshaya F

Very helpful and informative tool. Recommend for anybody in the property business

23/11/2024

Naomi S

Excellent resource for finding properties

23/10/2024

Ryan F

A super useful tool for any property investors. Its well worth the money as it saves so much time as you don't need to do a much manual searching on the property portals.

18/09/2024

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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.