| Sales | Rental | Growth | Crime | Demographics | Stock | |||||||
| Postcode | Avg asking price | Avg blended £/sqft | Sales per month | Turnover (sale) | Avg asking rent (pm) | Avg yield | 3yr | Crime rate | Avg. household income | Social rent | Actions | |
|
||||||||||||
You need to be on at least the Standard plan to view Postcode Data.
How PropertyData can help you
Be a smarter property investor using data
Some of the ways property investors use PropertyData to boost their returns
I'm an investor
Make data-driven development decisions
How property developers can use market research in decision-making
I'm a developer
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 for more searches.
UpgradeUpgrade 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 |
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 2024-10-31, 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 2024-10-31, 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.
Customise columns
Choose up to 20 columns to display:
Sales
Growth
Crime
Rental
Demographics
Stock
Other
Login to use this feature
About the postcode table
This table shows key property investment statistics for all UK postcode districts. Some cells are empty due to insufficient data. Around 440 districts are excluded completely due to insufficient data across too many points. All data is updated in close to real-time. Tap the 'Customise columns' button to customise the columns, the available columns are:
Sales
| Avg asking price | average asking price for all properties currently for sale |
| Avg asking price (studio) | average asking price for a studio property |
| Avg asking price (1 bed) | average asking price for a 1-bed property |
| Avg asking price (2 bed) | average asking price for a 2-bed property |
| Avg asking price (3 bed) | average asking price for a 3-bed property |
| Avg asking price (4 bed) | average asking price for a 4-bed property |
| Avg asking price (5 bed) | average asking price for a 5-bed property |
| Avg asking £/sqft | average asking price per square foot (learn more) |
| Asking £/sqft vs size | illustrates the relationship between asking price per square foot and property size. The larger the number the more price per square foot rises as property size increases. Negative numbers indicate that price per square foot falls as property size increases |
| Avg sold price | average sold price over the last 4 years |
| Avg sold price (detached) | average sold price for a detached property over the last 6 years |
| Avg sold price (semi-detached) | average sold price for a semi-detached property over the last 6 years |
| Avg sold price (terraced) | average sold price for a terraced property over the last 6 years |
| Avg sold price (flat) | average sold price for a flat over the last 6 years |
| Avg sold £/sqft | average sold price per square foot (learn more) |
| Avg sold £/sqft (new build) | average sold price per square foot for new build property |
| Avg sold £/sqft (old stock) | average sold price per square foot for old stock property |
| Avg sold £/sqft (detached) | average sold price per square foot for a detached property over the last 6 years |
| Avg sold £/sqft (semi-detached) | average sold price per square foot for a semi-detached property over the last 6 years |
| Avg sold £/sqft (terraced) | average sold price per square foot for a terraced property over the last 6 years |
| Avg sold £/sqft (flat) | average sold price per square foot for a flat over the last 6 years |
| Sold £/sqft vs size | illustrates the relationship between sold price per square foot and property size. The larger the number the more price per square foot rises as property size increases. Negative numbers indicate that price per square foot falls as property size increases |
| New build premium (sold price) | difference in average sold price per square foot for old and new build properties |
| Avg blended £/sqft | a blend of average asking and sold price per square foot (learn more) |
| Sales per month | a three-month rolling average of registered transactions per month |
| Turnover (sale) | sales per month as a percentage of current for sale stock |
Rental
| Avg asking rent (pm) | average long-let rent (pm) |
| Avg asking rent (studio, pm) | average long-let rent for a studio property (pm) |
| Avg asking rent (1 bed, pm) | average long-let rent for a 1-bed property (pm) |
| Avg asking rent (2 bed, pm) | average long-let rent for a 2-bed property (pm) |
| Avg asking rent (3 bed, pm) | average long-let rent for a 3-bed property (pm) |
| Avg asking rent (4 bed, pm) | average long-let rent for a 4-bed property (pm) |
| Avg asking rent (5 bed, pm) | average long-let rent for a 5-bed property (pm) |
| Avg asking rent HMO (double, pm) | average asking rent for a double room in an HMO (pm) |
| Avg asking rent HMO (double ensuite, pm) | average asking rent for an ensuite double room in an HMO (pm) |
| Avg yield | simplistic calculation of average long-let residential rental yield, view full data for more detail |
| Turnover (rental) | properties rented per month as a percentage of current for rent stock |
Growth
| 1yr | average house price per square foot growth in the last 1 year |
| 3yr | average house price per square foot growth in the last 3 years |
| 5yr | average house price per square foot growth in the last 5 years |
Crime
| Crime rate | crimes per 1,000 residents last year |
Demographics
| Population | total population living in the area at the last census |
| Population growth (10 year) | percentage population grow in the 10 years preceding 2021 |
| Households | number of households in the area at the last census |
| Degree | percentage of residents in the area with at least one degree |
| Deprivation | percentage of households reporting deprived in at least one dimension |
| NS-SeC L1-3 | percentage of residents in the area in NS-SeC levels 1 - 3 |
| Avg. household income | average household income |
Stock
| Avg. bedrooms | average number of bedrooms in properties in the area |
| Social rent | percentage of residents in the area on social rent |
| Private rent | percentage of residents in the area renting privately |
| Avg. energy score | average energy score for properties in the area |
Other
| UK region | percentage of residents in the area renting privately |
| Planning applications / month | number of planning applications per month |
| Planning success rate | rate of successful planning applications |
| Licenced HMOs | number of licenced HMOs |
| Acres of green space / 1000 residents | area of green space per 1000 residents |
| PropertyData Score | our proprietary metric for judging an area's investment potential (learn more) |
Source Properties
Find investment properties matching a wide range of investment strategies for sale now in this postcode
