Our House Price & Rents charts show trends in house price inflation and private rent inflation in the UK, going back to 2016.
House price inflation
PropertyData takes the mystery out of the UK property market through our extensive house price charts. These charts are not merely lines and numbers; they are the pulse of the UK property market, offering insights into past performances and future trends. This page is designed to help you understand the significance of these charts and use them to fortify your property investment decisions.
House price charts are visual representations of the property market's fluctuations over time. In the UK, where real estate is not just a space to call home but a significant investment avenue, these charts are an incredibly useful tool. They delineate trends in property values across various time frames, locations, and property types. The power of these charts can’t be understated - they are the crystal ball that both novices and experts gaze into to make informed property-related decisions. By examining the steady growth or decline of property values in specific areas, investors can glean the investment quality of a region. Are prices steadily climbing, indicating a solid investment? Or is there volatility that suggests a higher risk? UK house price charts crystallise this data into a coherent narrative.
The source for the raw data used to create each chart is shown at the bottom of the chart.
Diversity is the name of the game when it comes to house price charts. National charts give you the broad strokes of the UK market, while regional and local charts dive deeper into specific areas, highlighting variances that national charts may overlook. Each type has its strengths - national charts are excellent for overarching trends, regional charts for comparing different areas, and local charts for granular insight.
You can also glean insights into average UK house prices and annual changes for specific regions to help understand valuations clearly. Gathering data from a variety of sources ensures a more accurate reflection of the market. Sales figures, median prices, average prices per square foot, and the number of properties sold - all these factors and more are considered when compiling comprehensive house price charts.
These data points are affected by broader economic indicators such as GDP growth, unemployment rates, and lending rates, making it crucial to consider these external influences when interpreting the data.
Interpreting house price charts requires an analytical mind and an eye for detail to understand the deeper implications of the data presented. To start interpreting the data from these charts, it’s helpful to focus on identifying trends. In house price charts, upward trends indicate increasing prices, while downward trends signify the opposite.
Look for both long-term trends and short-term fluctuations to understand what’s going on in the market. Another important way to interpret house price chart data is by recognising patterns. Do certain properties or locales enjoy consistent growth or have things plateaued? You might even spot some sort of anomalies, like sudden price spikes or dips which could indicate external factors like economic downturns or changes in mortgage rates.
These charts are a goldmine for spotting trends and patterns in the property market. Watch out for consistent upward or downward trends, seasonal fluctuations, and the impact of economic cycles. Patterns like the ripple effect, where price changes in a prime location cascade outward, are also observable. Such insights are invaluable for predicting future movements and finding a good investment.
House price charts can be your guide to identifying undervalued properties and emerging markets. Areas with a gradual but steady increase in prices may indicate a potential for future growth. Conversely, if a once-booming area shows a slowing trend without significant economic changes, it could signal a market correction, presenting a buying opportunity.
Recognising and understanding key trends and patterns is essential for any savvy investor. For instance, a steady year-on-year increase could indicate a strong and stable market, whereas volatility might suggest a more speculative environment. By identifying these patterns, investors can better predict future movements and make more informed decisions.
Charts can be misleading without context. A common pitfall is to focus solely on short-term fluctuations and make hasty decisions. It's also important not to overlook macroeconomic factors and to consider the lag in reporting data. Reliance on a single source can skew your perspective - cross-reference data for a balanced view. Misinterpretation is another common problem.
Short-term data can be volatile and may not represent sustainable trends. House price charts should be considered alongside a variety of market data and economic indicators. It’s also crucial to ensure the data is up-to-date; property markets can change rapidly, and outdated information can lead to poor investment decisions.
Official sources such as the UK Land Registry and the Office for National Statistics provide reliable data. However, to dip deeper into the raw data using Property Data is the best resource available to you. We offer up-to-date statistics and compile everything into user-friendly charting tools. These resources are indispensable for accessing a range of house price charts tailored to your informational needs.
Customisation is key. By correlating your property locations and types with respective local and regional charts, you can benchmark your portfolio's performance. Keep a tab on both current valuations and historical trends to gauge your investment's health and to strategise future moves.
For more detailed local data, try out Local Data or Comparables tools.
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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 2024-09-30, 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 2024-09-30, 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.