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Research

At the start of your property investment workflow, you'll want the most powerful research tools at your disposal to help you choose when and where to invest

Local data for an UK urban or suburban area

Local Data

Draw a custom area in any urban or suburban part of the UK and see instant analytics on Prices, £/sqft, Rents, Yields, Demograpics & much more.

Local Data

Our postcode data shows key property market data for every postcode district in the UK

Postcode data

Comprehensive data updated daily showing key property investment statistics for all UK postcode districts

Postcode data

Don't miss a beat by following things in our newsroom, which has the latest property market news, including coverage of the Covid-19 pandemic and UK economy

Newsroom

Don't miss a beat by monitoring our newsroom, which has the latest property market news and coverage of the Covid-19 pandemic and UK economy

Newsroom

Our browser extension adds data directly into Rightmove, Zoopla and OnTheMarket listings pages

Browser extension

The PropertyData Google Chrome extension adds live local property market data directly into Rightmove, Zoopla and OnTheMarket listings pages.

More about Researching with PropertyData

Source

Find investment properties matching a wide range of investment strategies for sale now, with our Sourcing lists curated by algorithm and updated daily

Unmodernised

23,186 properties

Properties to be extended, modernised or developed

Quick sale

3,840 properties

Properties where the seller needs a quick sale

Repossessed

547 properties

Properties for sale after repossession by the lender

Land / plots

2,428 properties

Land or building plots for sale

Cash buyers only

3,640 properties

Properties marketed for cash buyers only

Price reduced

7,092 properties

Properties reduced by 15% or more since first listing

HMO licenced

1,495 properties

HMO-licenced properties for sale

Back on market

3,553 properties

Properties back on the market after being removed from sale

More about Sourcing with PropertyData

Evaluate

Appraising an investment property is a crucial process that might save you tens of thousands of pounds – PropertyData has the best due dilligence tools to help you

Automated valuations for houses, flats, HMOs and even entire developments

Plot Map

Beautiful high resolution maps of buildings and boundaries overlaid with market data, planning applications, listed buildings & more.

Plot Map

Automated valuations for houses, flats, HMOs and even entire developments

Valuation

Automated valuations for houses, flats, HMOs and even entire developments

Valuation

The simplest and fastest way to see sold price comparables for a property

Comparables

The simplest and fastest way to see sold price comparables for a property

Comparables

Find investor mortgages, both for individuals and limited companies

Mortgage finder

Find investor mortgages, both for individuals and limited companies

Mortgage finder

More about Evaluating with PropertyData

Let us tell you how PropertyData can help you

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Research

Local Data Postcode Data Yield Hotspots Newsroom House Prices Market Health Economic Data Expert Forecasts Growth Zones Browser Extension Construction Costs Council Tax Index Data by City Plots by Company

Source

Unmodernised Quick sale Repossessed Land / plots Cash buyers only Price reduced HMO licenced Back on market Investment portfolios Slow to sell Growth zones Planning granted Tenanted Auction On a corner plot High yield Cheap £/sqft Holiday lets Chain free Large properties Short lease Good views Bungalow With annexe New build Near a university Near great school Georgian

Evaluate

Plot Map Valuation Finance Finder Comparables Development Calculator Rebuild Cost Calculator Build Cost Calculator Internal Area Lookup Stamp Duty Calculator Yield Calculator Cash Flow Calculator

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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 2021-03-29, 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 2021-03-29, 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?

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.