These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 28 November 2025 and was updated with provisional data from completed transactions during October 2025.

The next release will be published 09:30 09 January 2026 and will be updated with provisional data from completed transactions during November 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

The volume of residential property sales in London dropped substantially after 2007 as a result of the global financial crisis. Though housing transactions gradually increased until 2014, sales volumes remained shy from the period before the financial crisis. The housing boom in 2021 led to transactions jumping to nearly *********This substantial increase was followed by two years of market contraction, followed by a slight uptick in 2024. Across the city, several boroughs stood out as concentrating a larger number of transactions. These boroughs included Wandsworth, Bromley, and Croydon.

Number of residential property sales in England and Wales, by property type and administrative geographies. Annual data.

This statistic shows the annual number of residential property transactions on the London real estate market (UK) from 2005 to 2014. The revised data for 2013 showed approximately 145 thousand residential property transactions on the London market. That number increased by approximately 10 thousand, according to the provisional data for 2014.

This statistic illustrates the annual indices of the nominal value of property transactions on the housing market in London, England from 2000 to 2020. The index was set at 100 as of 2007. The nominal value index oscillated throughout the years, reaching the lowest value of 46.73 in 2009 and the highest value of 105.35 in 2014. The nominal total value of property transactions in London has fallen annually between 2014 and 2020.

Wandsworth, Bromley, and Croydon were the boroughs with the most active housing markets in London in 2024. Throughout the year, Wandsworth recorded over ***** housing transactions. At the other end of the spectrum was the City of London, one of the priciest housing markets in London, where *** sales took place.

During the COVID-19 pandemic, the number of house sales in the UK spiked, followed by a period of decline. In 2023 and 2024, the housing market slowed notably, and in January 2025, transaction volumes fell to 46,774. House sales volumes are impacted by a number of factors, including mortgage rates, house prices, supply, demand, as well as the overall health of the market. The economic uncertainty and rising unemployment rates has also affected the homebuyer sentiment of Brits. How have UK house prices developed over the past 10 years? House prices in the UK have increased year-on-year since 2015, except for a brief period of decline in the second half of 2023 and the beginning of 2024. That is based on the 12-month percentage change of the UK house price index. At the peak of the housing boom in 2022, prices soared by nearly 14 percent. The decline that followed was mild, at under three percent. The cooling in the market was more pronounced in England and Wales, where the average house price declined in 2023. Conversely, growth in Scotland and Northern Ireland continued. What is the impact of mortgage rates on house sales? For a long period, mortgage rates were at record-low, allowing prospective homebuyers to take out a 10-year loan at a mortgage rate of less than three percent. In the last quarter of 2021, this period came to an end as the Bank of England rose the bank lending rate to contain the spike in inflation. Naturally, the higher borrowing costs affected consumer sentiment, urging many homebuyers to place their plans on hold and leading to a decline in sales.

The table below showcases the total number of homes sold for each zip code in London, Ohio. It's important to understand that the number of homes sold can vary greatly and can change yearly.

Land Registry Price Paid Data (PPD) have been published as open data since 2013. These data have been transformative for house price variation research in the UK as they are a comprehensive record of residential transactions at address level and cover the whole of England and Wales over a period dating back to 1995. Despite the utility of these data, a lack of attribute information relating to the properties, such as total floor area information, is identified as one of the major shortcomings of the PPD data. This means that the impacts of stock mix on broader price patterns cannot be fully accounted for. This research outlines one approach which addresses this deficiency by combining transaction information from the official open Land Registry Price Paid Data (PPD) with property size information form the official open Domestic Energy Performance Certificates (EPCs). A four-stage data linkage is created to generate a new linked dataset, representing 79% of the full market sales in the Land Registry PPD. This new linked dataset details 5,732,838 transactions in England and Wales between 2011 and 2019, along with each property's total floor area and the number of habitable rooms. Codes for other commonly used spatial units from Output Area to Local Authority are also included in the dataset. This offers greater flexibility for the exploration of house price variation in England and Wales at different spatial scales. The data collection includes the scripts used for linkage, as well as the resulting dataset.

Current residential house price variation research in the UK is limited by lack of an open and comprehensive house price database that contains both transaction price alongside dwelling attributes such as size. This research outlines one approach which addresses this deficiency in England and Wales through combining transaction information from the official open Land Registry Price Paid Data (PPD) and property size information form the official open Domestic Energy Performance Certificates (EPCs). A four-stage data linkage is created to generate a new linked data, representing 79% of the full market sales in Land Registry PPD. This new linked dataset offers greater flexibility for the exploration of house price (house price per square metre) variation in England and Wales at different spatial scales over postcode unit between 2011 and 2019.

London Property Prices Dataset 200k+ records Overview This dataset offers a comprehensive snapshot of residential properties in London, capturing both historical and current market data. It includes property-specific information such as address, geographic coordinates, and various price estimates. Data spans from past transaction prices to present estimates for sale and rental values, making it ideal for real estate analysis, investment modeling, and trend forecasting.

Key Columns fullAddress: Complete address of the property. postcode: Postal code identifying specific areas in London. outcode: First part of the postcode, grouping properties into broader geographic zones. latitude & longitude: Geographic coordinates for mapping or location-based analysis. property details: Includes bathrooms, bedrooms, floorAreaSqM, livingRooms, tenure (e.g., leasehold or freehold), and propertyType (e.g., flat, maisonette). energy rating: Current energy rating, indicating the property’s energy efficiency. Pricing Information Rental Estimates: Ranges for estimated rental values (rentEstimate_lowerPrice, rentEstimate_currentPrice, rentEstimate_upperPrice). Sale Estimates: Current sale price estimates with confidence levels and historical changes. saleEstimate_currentPrice: Current estimated sale price. saleEstimate_confidenceLevel: Confidence in the sale price estimate (LOW, MEDIUM, HIGH). saleEstimate_valueChange: Numeric and percentage change in sale value over time. Transaction History: Date-stamped sale prices with historic price changes, providing insight into property appreciation or depreciation. Potential Applications This dataset enables a variety of analyses:

Market Trend Analysis: Track how property values and rents have evolved over time. Investment Insights: Identify high-growth areas and property types based on historical and estimated price changes. Geospatial Analysis: Use location data to visualize price distributions and trends across London. Usage Recommendations This dataset is well-suited for machine learning projects predicting property values, rent estimations, or analyzing urban property trends. With rich details spanning multiple facets of the real estate market, it’s an essential resource for data scientists, analysts, and investors exploring the London property market.

The table below showcases the total number of homes sold for each zip code in New London, Wisconsin. It's important to understand that the number of homes sold can vary greatly and can change yearly.

This statistic shows the annual value of non-residential property transactions on the London real estate market (UK) from 2005 to 2014. The revised data for 2013 showed a value of approximately **** billion British pounds for non-residential property transactions on the London market, which increased by over **** billion GBP according to provisional data for 2014.

This repository is the third updated version of the attribute-linked residential property price dataset in UK Data Service ReShare 854240 (https://reshare.ukdataservice.ac.uk/854240/). As with the first updated version (ReShare 855033 https://reshare.ukdataservice.ac.uk/855033/) in 2021, this updated dataset contains individual property transactions and associated variables from both Land Registry Price Paid Dataset (LR PPD) and the Ministry for Housing, Communities and Local Government (MHCLG) Domestic Energy Performance Certificate (EPC) data. This is a linked result by address matching between LR-PPD data (1/1/1995-31/10/2023) and Domestic EPCs data (ending with 31/10/2023). It is the whole of the 2023 update dataset published in the Greater London Authority (GLA) London Datastore (https://data.london.gov.uk/dataset/house-price-per-square-metre-in-england-and-wales).

The linked dataset in this repository is the uncorrected version, recording over 21 million transactions with 107 variables in England and Wales between 1/1/1995 and 31/10/2023. We have offered technical validation and data cleaning code in UKDA ReShare 854240 to help users to evaluate the representation and clean up the data.

This repository covers the original LR PPD and Domestic EPCs for the linked data (house price per square metre dataset). Similar to the first updated version, a field header has been added in LR PPD. Six variables (LMK_KEY, address, address 1, address 2, address 3, postcode) in Domestic EPCs are removed. A newly created unique identifier (id) is added in Domestic EPCs, this id is newly created for the Domestic EPCs(downloaded on 2/12/2023). It is not the same id as the id in the Domestic EPCs from UK Data Service ReShare 854240 and ReShare 855033 or the ReShare 856204. Since November 2021, DLUCH has published Domestic EPCs with the Unique Property Reference Number (UPRN) hence the dataset in this repository contains the UPRN information from the Domestic EPCs.

The table below showcases the total number of homes sold for each zip code in New London, Iowa. It's important to understand that the number of homes sold can vary greatly and can change yearly.

Graph and download economic data for All-Transactions House Price Index for Norwich-New London, CT (MSA) (ATNHPIUS35980Q) from Q3 1985 to Q2 2025 about Norwich, CT, appraisers, HPI, housing, price index, indexes, price, and USA.

This house price per square metre dataset is created through complex address-based matching between the Land Registry’s Price Paid Data (LR-PPD) and property size information from the Domestic Energy Performance Certificates (EPC) data published by the Department for Levelling Up, Housing and Communities (DLUHC, formerly MHCLG). Details of the data linkage are published in the UCL Open: Environment along with the related linkage code via the UK Data Service ReShare repository.

During this data linkage process, the transactions assigned as category B (Additional Price Paid entry) and other property types are removed. Here we publish our latest limited attribute version of the uncorrected house price per square metre dataset in England and Wales with the LR-PPD data (1/1/1995-26/2/2021) and Domestic EPCs data (the sixth version, up to 20/9/2020) downloaded on 1/4/2021 for non-commercial purpose. This uncorrected version of house price per square metre dataset records over 18 million transactions with 16 variables in England and Wales since 1995. Unlike in our published article, in this uncorrected version we have not removed transactions with any improbable price per square metre values - i.e. where either the transaction price or total floor area values are null, 0 or too low to be realistic. This uncorrected version of the data will offer the most flexibility for researchers.

We offer technical validation and data cleaning code via the UKDA ReShare repository to help users evaluate the representation of the linked data for a given time period. The data cleaning code shows our methods for cleaning up unlikely floor size records before using this data in analysis. Users can create their own rules and undertake this clean-up process based on their own experience and research aims.

This limited attribute version is published by local authority (2021 version). Details of the 16 variables are described in the explanation file. The National Statistics Postcode Lookup NSPL (May 2021 version) is used to assign the local authority unit for your production of area-based statistics. Users can match historical changes in LA boundaries by choosing appropriate aggregations using, for instance ONSPD, and the postcode variable in our dataset.

An extended version of this dataset containing additional variables is available from UK Data Service Reshare service. Users can directly access this full version dataset (tranall_link_01042021.zip) via the following link: https://reshare.ukdataservice.ac.uk/855033/ . Accompanying LR-PPD and EPC data are also supplied through the ReShare service. Users who would like to attach their own additional variables from the LR-PPD data are advised to use the transactionid variable to link to the LR-PPD (LRPPD_01042021.zip). Users who would like to attach additional variables from the EPC data are advised to use the id variable to link to the sixth version Domestic EPCs (epc6_id.zip).

The 2024 update

The 2024 updated version of the house price per square metre dataset extends the data coverage to the end of 2024 ( hpm_la_2024.zip ). This new version is the result of linking LR-PPD data (01/01/1995–31/10/2024) and Domestic EPCs data (up to 31/10/2024), downloaded on 26/12/2024 for non-commercial purposes. It records over 22 million transactions in England and Wales since 1995.

Unlike the previous versions, this updated removes the id variable (created by the authors) and adds the lmk_key variable (originally from the Domestic EPCs dataset). This change was made because the lmk_key serves as a unique identifier with no duplicate records since 2024.

The match rate of the linked data varies over time; therefore, we recommend users carefully choose the time coverage and validate the data coverage using the match rate. Please note that publicly available Domestic EPCs data starts in 2008, resulting in an extremely low match rate for the period between 1995 and 2008.

The National Statistics Postcode Lookup (November 2024 version) is used to assign local authorities (2023 version)

Graph and download economic data for All-Transactions House Price Index for New London County, CT (ATNHPIUS09011A) from 1977 to 2024 about New London County, CT; Norwich; CT; HPI; housing; price index; indexes; price; and USA.

The table below showcases the total number of homes sold for each zip code in London Mills, Illinois. It's important to understand that the number of homes sold can vary greatly and can change yearly.

The London house prices dataset contains details for property sales and contains around 1.38 million observations.