Facebook
TwitterOur Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.
Get up to date with the permitted use of our Price Paid Data:
check what to consider when using or publishing our Price Paid Data
If you use or publish our Price Paid Data, you must add the following attribution statement:
Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.
Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.
Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.
Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:
If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.
The following fields comprise the address data included in Price Paid Data:
The October 2025 release includes:
As we will be adding to the October data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.
Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.
Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.
We update the data on the 20th working day of each month. You can download the:
These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.
Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.
The data is updated monthly and the average size of this file is 3.7 GB, you can download:
Facebook
TwitterThe UK House Price Index is a National Statistic.
Download the full UK House Price Index data below, or use our tool to https://landregistry.data.gov.uk/app/ukhpi?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=tool&utm_term=9.30_16_10_24" class="govuk-link">create your own bespoke reports.
Datasets are available as CSV files. Find out about republishing and making use of the data.
This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.
Download the full UK HPI background file:
If you are interested in a specific attribute, we have separated them into these CSV files:
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-prices-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average_price&utm_term=9.30_16_10_24" class="govuk-link">Average price (CSV, 9.4MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-prices-Property-Type-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average_price_property_price&utm_term=9.30_16_10_24" class="govuk-link">Average price by property type (CSV, 28MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Sales-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=sales&utm_term=9.30_16_10_24" class="govuk-link">Sales (CSV, 5MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Cash-mortgage-sales-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=cash_mortgage-sales&utm_term=9.30_16_10_24" class="govuk-link">Cash mortgage sales (CSV, 7MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/First-Time-Buyer-Former-Owner-Occupied-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=FTNFOO&utm_term=9.30_16_10_24" class="govuk-link">First time buyer and former owner occupier (CSV, 6.5MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/New-and-Old-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=new_build&utm_term=9.30_16_10_24" class="govuk-link">New build and existing resold property (CSV, 17.1MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Indices-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=index&utm_term=9.30_16_10_24" class="govuk-link">Index (CSV, 6.2MB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Indices-seasonally-adjusted-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=index_season_adjusted&utm_term=9.30_16_10_24" class="govuk-link">Index seasonally adjusted (CSV, 213KB)
https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Average-price-seasonally-adjusted-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=average-price_season_adjusted&utm_term=9.30_16_10_24" class="govuk-link">Average price seasonally adjusted (CSV, 222KB)
<a rel="external" href="https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/Repossession-2024-08.csv?utm_medium=GOV.UK&utm_source=datadownload&utm_campaign=repossession&utm_term=9.30_16_10_24" cla
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is a subset of UK House Price Index data published by Land Registry and ONS.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the unadjusted median house priced for residential property sales (transactions) in the area for a 12 month period with April in the middle (year-ending September). These figures have been produced by the ONS (Office for National Statistics) using the Land Registry (LR) Price Paid data on residential dwelling transactions.
The LR Price Paid data are comprehensive in that they capture changes of ownership for individual residential properties which have sold for full market value and covers both cash sales and those involving a mortgage.
The median is the value determined by putting all the house sales for a given year, area and type in order of price and then selecting the price of the house sale which falls in the middle. The median is less susceptible to distortion by the presence of extreme values than is the mean. It is the most appropriate average to use because it best takes account of the skewed distribution of house prices.
Note that a transaction occurs when a change of freeholder or leaseholder takes place regardless of the amount of money involved and a property can transact more than once in the time period.
The LR records the actual price for which the property changed hands. This will usually be an accurate reflection of the market value for the individual property, but it is not always the case. In order to generate statistics that more accurately reflect market values, the LR has excluded records of houses that were not sold at market value from the dataset. The remaining data are considered a good reflection of market values at the time of the transaction. For full details of exclusions and more information on the methodology used to produce these statistics please see http://www.ons.gov.uk/peoplepopulationandcommunity/housing/qmis/housepricestatisticsforsmallareasqmi
The LR Price Paid data are not adjusted to reflect the mix of houses in a given area. Fluctuations in the types of house that are sold in that area can cause differences between the median transactional value of houses and the overall market value of houses. Therefore these statistics differ to the new UK House Price Index (HPI) which reports mix-adjusted average house prices and house price indices.
If, for a given year, for house type and area there were fewer than 5 sales records in the LR Price Paid data, the house price statistics are not reported. Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Price Paid Data tracks the residential property sales in England and Wales that are lodged with HM Land Registry for registration.
Our price paid data tracks the residential property sales in England and Wales that are lodged with us for registration. The dataset is a reliable source of house price information and consists of more than 24 million definitive records dating back to January 1995. For more information on this dataset and what it does and doesn't include, visit https://www.gov.uk/about-the-price-paid-data
Choose from three options to select the data that best meets your requirements:
monthly file: contains a single monthly file of the transactions received in the period from the first to the last day of the corresponding month, including any changes or deletions to previously downloaded data. The data is updated monthly and the average size of this file is 11 MB.
single file: contains all the up to date data from 1995 to the current date. The data is updated monthly and the average size of this file is 2.86 GB.
yearly files: contains annual files of up to date data, ranging from 1995 to the current date. Unlike the monthly files described above, yearly files are collated on the date of the transaction/deed date rather than the date that the information was lodged with HM Land Registry. The data is updated monthly and the sizes of these files range from 87 MB to 222 MB. If you are having trouble downloading any of the year files in full, they are also available as two smaller, evenly split CSV files.
We try to make sure that our public data is accurate, but cannot guarantee that it is free from errors or fit for your purpose or use. Reports are based on data collected at the time a property transaction is registered with us and will not necessarily be up to date with the most recent information. For more information, read https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads#when-using-or-publishing-our-price-paid-data
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.
Data available from: 1st quarter 1995 to 4th quarter 2023
Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.
Changes as of 6 June 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price index 2020=100, region. See paragraph 3.
From reporting period 2024 quarter 1, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In April 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the unadjusted lower quartile house priced for residential property sales (transactions) in the area for a 12 month period with April in the middle (year-ending September). These figures have been produced by the ONS (Office for National Statistics) using the Land Registry (LR) Price Paid data on residential dwelling transactions.
The LR Price Paid data are comprehensive in that they capture changes of ownership for individual residential properties which have sold for full market value and covers both cash sales and those involving a mortgage.
The lower quartile is the value determined by putting all the house sales for a given year, area and type in order of price and then selecting the price of the house sale which falls three quarters of the way down the list, such that 75Percentage of transactions lie above and 25Percentage lie below that value. These are particularly useful for assessing housing affordability when viewed alongside average and lower quartile income for given areas.
Note that a transaction occurs when a change of freeholder or leaseholder takes place regardless of the amount of money involved and a property can transact more than once in the time period.
The LR records the actual price for which the property changed hands. This will usually be an accurate reflection of the market value for the individual property, but it is not always the case. In order to generate statistics that more accurately reflect market values, the LR has excluded records of houses that were not sold at market value from the dataset. The remaining data are considered a good reflection of market values at the time of the transaction. For full details of exclusions and more information on the methodology used to produce these statistics please see http://www.ons.gov.uk/peoplepopulationandcommunity/housing/qmis/housepricestatisticsforsmallareasqmi
The LR Price Paid data are not adjusted to reflect the mix of houses in a given area. Fluctuations in the types of house that are sold in that area can cause differences between the lower quartile transactional value of houses and the overall market value of houses.
If, for a given year, for house type and area there were fewer than 5 sales records in the LR Price Paid data, the house price statistics are not reported." Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.
Facebook
TwitterLast updated on 22 Feb 2025
This dataset provides comprehensive information on property sales in England and Wales, sourced from the UK government's HM Land Registry. Although the government site claims to update on the same day each month, actual updates can vary. To bridge this update variation gap, our fully automated ETL pipeline retrieves the official government data on a daily basis. This ensures that the dataset always reflects the most current transaction data available.
Our ETL (Extract, Transform, Load) process is designed to automate the data update and publishing workflow:
1. Extract:
The pipeline uses web scraping to retrieve the latest data from the official government website. This step is necessary as the site does not offer an API.
2. Transform:
Before loading the data, the ETL pipeline processes the dataset to ensure consistency and usability. As part of the transformation stage, the first column (Transaction_unique_identifier) is removed. This column is dropped during staging to focus on the most relevant transactional information. The column removal successfully reduces the data file size from almost 6GB to 3.1GB, and therefore will greatly increase the data analysis efficiency, and reduces the chance of kernal error/restart.
3. Load:
Finally, the transformed data is loaded into the dataset.
The transformed data is loaded into the dataset in two parts: - Complete Data (pp-complete.csv): This file encompasses all records from January 1995 to the present. The complete data file is replaced during each update to reflect any corrections or additional historical data. The first column is price. - Monthly Data: A separate monthly file is amended each month. This monthly archive ensures a complete record of updates over time, allowing users to track changes and trends more granularly.
The dataset (pp-complete.csv) contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions—from residential to commercial properties—providing a holistic view of the real estate market in England and Wales.
The original data includes the following columns:
- Transaction_unique_identifier
- price
- Date_of_Transfer
- postcode
- Property_Type
- Old/New
- Duration
- PAON
- SAON
- Street
- Locality
- Town/City
- District
- County
- PPDCategory_Type
- Record_Status - monthly_file_only
Note: As part of the transformation process, the Transaction_unique_identifier column is removed from the final published pp-complete.csv data file. Therefore the first column of the pp-complete.csv file is price.
Address data Explanation - Postcode: The postal code where the property is located. - PAON (Primary Addressable Object Name): Typically the house number or name. - SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. - Street: The street name where the property is located. - Locality: Additional locality information. - Town/City: The town or city where the property is located. - District: The district in which the property resides. - County: The county where the property is located. - Price Paid: The price for which the property was sold.
Ownership and Attribution This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:
>"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."
The data can be used for both commercial and non-commercial purposes.
The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.
Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.
By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.
Facebook
Twitterhttps://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
The UK house price index (UK HPI) represents changes in the value of UK residential properties (i.e., detached houses, semi-detached houses, terraced houses, flats and maisonettes) and indicates trends in the UK housing market. The UK HPI applies a hedonic regression model that utilises the various sources of data on property price (e.g., HM Land Registry's Price Paid dataset) to allow for a true comparison of UK property prices in each period. The data is sourced from the Office for National Statistics (ONS) and HM Land Registry, using house sales data from HM Land Registry, Registers of Scotland, and Land and Property Services Northern Ireland. Forecast data is estimated by IBISWorld, with reference to Office for Budget Responsibility (OBR) forecasts submitted in its 'Economic and fiscal outlook – March 2022' publication. The figures are presented with a base month in 2015 (i.e., January 2015 = 100) and are averages of the UK HPI over each financial year (i.e., April-March).
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The UK House Price Index (UK HPI) is an official statistic that captures changes in the value of residential properties in the United Kingdom. The UK HPI is calculated by the Office for National Statistics and Land & Property Services Northern Ireland. Data for the UK House Price Index is provided by HM Land Registry, Registers of Scotland, Land & Property Services Northern Ireland and the Valuation Office Agency. Geographic coverage England, Scotland, Wales and Northern Ireland License statement UK HPI data is published under Open Government Licence. When using or publishing data from the UK HPI reports, background tables in the statistical datatset: UK House Price Index: data downloads or search tool, you will need to add the following attribution statement: Contains HM Land Registry data © Crown copyright and database right [year of supply or date of publication]. This data is licensed under the Open Government Licence v3.0. When you publish the data, be sure to include information about the nature of the data and any relevant dates for the period of time covered. Neither HM Land Registry nor any third party shall be liable for any loss or damage, direct, indirect or consequential, arising from: any inaccuracy or incompleteness of the data in the UK HPI any decision made or action taken in reliance upon the data Neither shall HM Land Registry or any third party be liable for loss of business resources, lost profits or any punitive indirect, consequential, special or similar damages whatsoever, whether in contract or tort or otherwise, even if advised of the possibility of such damages being incurred.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset provides comprehensive information on property sales in England and Wales, as sourced from the UK government's HM Land Registry. It offers valuable insights into property transactions, including sale prices, locations, and types of properties sold. This dataset is particularly useful for analysts, researchers, and businesses looking to understand market trends, property valuations, and investment opportunities in the real estate sector of England and Wales.
The dataset contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions, from residential to commercial properties, providing a holistic view of the real estate market in England and Wales.
colnames=['Transaction_unique_identifier', 'price', 'Date_of_Transfer', 'postcode', 'Property_Type', 'Old/New', 'Duration', 'PAON', 'SAON', 'Street', 'Locality', 'Town/City', 'District', 'County', 'PPDCategory_Type', 'Record_Status - monthly_file_only' ]
Address data Explaination Postcode: The postal code where the property is located. PAON (Primary Addressable Object Name): Typically the house number or name. SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. Street: The street name where the property is located. Locality: Additional locality information. Town/City:The town or city where the property is located. District: The district in which the property resides. County:The county where the property is located. Price Paid:The price for which the property was sold.
This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:
"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."
The data can be used for both commercial and non-commercial purposes.
The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.
##Suggested Usages Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.
By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.
Facebook
TwitterAnnual mean and median property prices calculated by the GLA from Price Paid Data published on Land Registry website. Number of property sales also included. Data has been aggregated to Borough, Ward, MSOA, LSOA, Postcode Districts and Postcode Sectors. Caution should be used when analysing figures based on a low number of sales. Price Paid Data provides information on every residential property sale in England and Wales that has been lodged with HM Land Registry for registration. Download full price paid data from the Land Registry. Click on the image below to access an interactive dashboard using some of the data available from this page.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset contains real-world property sales data from the UK, combining details from Rightmove and HM Land Registry.
You'll find: - A main property table (properties_main.csv) with info like type, location, latest price, and build type - A sale history table (price_history.csv) listing every known transaction for each property
🧠 This dataset is designed for learning and practice. It includes: - Messy fields (like missing bedrooms or bathroom info) - Currency values in text format (e.g. £280,000) - Linked tables via a unique property_id
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.
Data available from: January 1995 till December 2023
Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.
From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated
Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇬🇧 영국 English Number of properties sold from Land Registry data. Excluded from the above figures are sales at less than market price (e.g. Right To Buy), sales below £1,000 and sales above £20m. Relevant link: http://www.ons.gov.uk/ons/rel/regional-analysis/house-price-statistics-for-small-areas/index.html
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes. Data available from: 1st quarter 1995 to 2017 Status of the figures: The figures are definite. Changes as of 20th April 2018: None, this table has been discontinued. This table is followed by the table House Price Index by region; existing own homes 2015 = 100. See paragraph 3 When will new figures be published? Does not apply.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of a certain type of dwellings are sold. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.
Data available from: 1st quarter 1995
Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.
Changes as of 22 October 2025: Figures for reporting period 3rd quarter 2025 were added.
When will new figures be published? New figures are published about 22 days after the period under review.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is the median house price for residential property sales (all dwellings sold and registered) in a given period of four consecutive quarters, in the area. They are calculated using open data from the HM Land Registry (LR), a source of comprehensive record-level administrative data on property transactions.
They are updated twice a year, in spring and autumn. The LR Price Paid data are comprehensive in that they capture changes of ownership for individual residential properties which have sold for full market value and cover both cash sales and those involving a mortgage.
The median is the value determined by putting all the house sales for a given year, area and type in order of price and then selecting the price of the house sale which falls in the middle.
Note that a transaction occurs when a change of freeholder or leaseholder takes place regardless of the amount of money involved, and a property can transact more than once in the time period. The LR records the actual price for which the property changed hands. This will usually be an accurate reflection of the market value for the individual property, but it is not always the case.
In order to generate statistics that more accurately reflect market values, the LR has excluded records of houses that were not sold at market value from the dataset. The remaining data are considered a good reflection of market values at the time of the transaction.
The LR Price Paid data are not adjusted to reflect the mix of houses in a given area. Fluctuations in the types of house that are sold in that area can cause differences between the median transactional value of houses and the overall market value of houses.
Therefore these statistics differ from the new UK House Price Index (HPI) which reports mix-adjusted average house prices and house price indices.
If, for a given year, house type and area there were fewer than 5 sales records in the LR Price Paid data, the house price statistics are not reported.
Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month.
Facebook
TwitterOur Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.
Get up to date with the permitted use of our Price Paid Data:
check what to consider when using or publishing our Price Paid Data
If you use or publish our Price Paid Data, you must add the following attribution statement:
Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.
Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.
Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.
Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:
If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.
The following fields comprise the address data included in Price Paid Data:
The October 2025 release includes:
As we will be adding to the October data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.
Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.
Google Chrome (Chrome 88 onwards) is blocking downloads of our Price Paid Data. Please use another internet browser while we resolve this issue. We apologise for any inconvenience caused.
We update the data on the 20th working day of each month. You can download the:
These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.
Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.
The data is updated monthly and the average size of this file is 3.7 GB, you can download: