How to Start Property Market Research in 2023

What is property analysis?

Property analysis is the process of gathering information about a property prior to making an investment decision. Property market intelligence is important when ascertaining how a property stacks up in the wider frame of the local marketplace. Before making any financial decisions on whether to purchase, hold or sell a house, an in-depth property analysis should be performed. 

Good property market research involves the gathering of information from several sources, as well as verifying that all data is accurate. This information typically includes: 

  • Housing market research into demographics, geographic and socio-economic data. 
  • A look at the physical characteristics of the property, including square footage, physical design and current condition. 
  • Basic cost information, including purchase and potential renovation costs
  • Revenue information to ascertain whether a property offers good rental yields or ROI. 
  • How the property compares to others in the area in terms of condition, age and amenities. 
  • Financial specifics, including potential loan amounts, current interest rates and overall purchase costs.
  • Current property market trends, and changes in the market as a whole.

Buy-to-let investors, developers, estate agents and many other groups should all be familiar with the tools needed to research to property market.

Market research is important will allow you to make better comparisons between areas and properties, which will be helpful whether you are making an investment or looking to sell a property.

How do I start researching real estate markets?

The purpose of real estate market research is to establish whether to invest in a specific location. There are several easy ways to perform detailed research of local real estate markets, and your first step should be to consult historical data from a variety of sources. 

To understand where a local real estate market is potentially headed, you’ll first need to know where it has previously been. PropertyData provides a wealth of tools which allow access to historical property information by postcode, including previous sale prices and valuations through the years. 

Narrow down a neighbourhood or region by postcode

Property investment is location-based - after all, we’ve all heard the saying “location, location, location”. When identifying areas of a potential investment, you’ll want to consider pricing, rental demand, available stock, demographics, rental yields and amenities in the area, among many other things. PropertyData provides up-to-date analysis by postcode to help you create a shortlist of investment areas.

Analyse the area in more detail

Once you’ve narrowed down areas of interest, it’s time to look at them in more detail using our Local Data tool. You should look for example at prices (including £/sqft) and demand for rental housing in the area, as well as delving into construction levels, economic information and business performance of a region.

Demographics (such as the age of population) will also be a good indicator of how an area is performing economically. For example, if the average age of people in the area is getting younger, you can probably use this as a sign that young professionals are following commercial opportunities and taking an interest in the area.

Areas which aren’t attractive to renters generally command lower rental yields, so ideally you’ll want to be aiming for an area which is in high demand among students and young professionals (the largest demographic of renters).

You might also want to consider potential future opportunities, too. For example, is there any outward investment planned for the area, such as a new business park or place of higher education? These are all positive signs that demand for rental housing could soon peak in an area.

Understand the stock in the area

Once you've identified an investment area, look at the existing stock in that area and how different property types and sizes perform.

  • The average size/square footage of properties in the area. 
  • Number of rooms (bedrooms, living rooms, bathrooms and so on). 
  • The age of properties in the area (are they older, newer or a mixture of both?)
  • Do new builds command a higher price tag?

Look for due diligence issues

Spotting warning signs is important. For example, have there ever been any environmental issues or soil contamination issues in the area? Is the area prone to flooding? Are there any external factors which could affect property prices, such as the proximity to undesirable processing plants or correctional facilities?

Are there restrictions on development, such as the property being in the green belt or an AONB?

What next?

To supercharge your property market analysis, why not sign up to PropertyData for a free 14-day trial?

With a wealth of information to hand, you’ll be able to value properties, calculate rental yields and define potential opportunities for investment in an efficient manner.

Sign up to PropertyData for free

How PropertyData can help you

PropertyData investor illustration

Be a smarter property investor using data

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

I'm an investor
PropertyData data illustration

Make data-driven development decisions

How property developers can use market research in decision-making

I'm a developer
PropertyData clients illustration

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 or purchase additional credits for more searches.

Upgrade Purchase credits

Upgrade 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
Start your free trial now

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 2024-03-28, 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 2024-03-28, 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.