The borough with the highest property prices in London, Kensington and Chelsea, had an average price for a flat exceeding *** million British pounds. London is the most populous metropolitan area in the UK, and living in it comes with a price tag. Unsurprisingly, the most expensive boroughs in terms of real estate prices are located in the heart of the metropolis: Kensington and Chelsea, the City of Westminster, and the City of London. In Kensington and Chelsea, home to several museums such as the Natural History Museum, the Victoria and Albert Museum, and the Science Museum, as well as galleries and theaters, the average price of apartments was over a million British pounds. How have residential property prices developed in recent years? The average house price in England have risen notably over the past decade, despite a slight decline in 2023. While London continues to be the hottest market in the UK, price growth in the capital has moderated. Conversely, prices in the more affordable cities, such as Belfast and Liverpool, have started to rise at a faster pace. Are residential property prices in London expected to grow in the future? Despite property prices declining in 2024, the market is forecast to continue to grow in the next five years, according to a October 2024 forecast. Some of the reasons for this are the robust demand for housing, the chronic shortage of residential properties, and the anticipated decline in mortgage interest rates.

The monthly house price index in London has increased since 2015, albeit with fluctuation. In May 2025, the index reached 99.1, which is a slight increase from the same month in 2024. Nevertheless, prices widely varied in different London boroughs, with Kensington and Chelsea being the priciest boroughs for an apartment purchase.

According to the forecast, house prices in London are expected to continue to increase until 2029. During the five-year period from 2025 to 2029, the house prices for mainstream properties are forecast to rise by **** percent. In 2023, the average house price in London ranged between ******* British pounds and *** million British pounds, depending on the borough. Barking and Dagenham, Bexley, Newham, and Croydon were some of the most affordable boroughs to buy a house.

Median price paid for existing residential property in England and Wales, by property type and administrative geographies. Quarterly rolling annual data. Formerly HPSSA dataset 11.

Housing Index in the United Kingdom increased to 514.30 points in July from 512.40 points in June of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The house price index in London reached 99.1 index points in May 2025, which was an increase of 2.2 percent year on year. The house price index (HPI) is an easy way of illustrating trends in the house sales market and help simplify house purchase decisions. By using hedonic regression, the index models property price data for all dwellings and shows how much the price has changed since January 2023. Average house prices in Londnon boroughs Location plays a huge role in the price of a home. Kensington and Chelsea and City of Westminster are undoubtedly the most expensive boroughs in London, with an average house price that can exceed one million British pounds. In comparison, a house in Barking and Dagenham cost approximately one third. Nevertheless, the housing market is the busiest in the boroughs with average house prices. How have regional house prices in the UK developed? House prices in other UK regions have risen even more than in London. In Northern Ireland, the house price index reached nearly 120 index points in May 2025, ranking it among the regions with the highest property appreciation. The UK house price index stood at 103 index points, suggesting an increase of 51 percent since 2015.

This repository is the second 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 (1/1/1995-27/6/2022) and Domestic EPCs data (the twelfth version: ending with 30/6/2022). It is the whole of the 2022 update house price per square metre 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 almost 20 million transactions with 106 variables in England and Wales between 1/1/1995 and 27/6/2022. We have offered technical validation and data cleaning code in UKDA ReShare 854240 to help users to evaluate the representation and to clean up the data. There is no unique way to clean this raw linked dataset, so we suggest users develop their own clean-up process based on their research requirements. In addition, 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 (individual lodgement identifier, 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 Version 12 Domestic EPCs. It is not the same id as in the Domestic EPCs from UK Data Service ReShare 854240 and ReShare 855033. 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.

Graph and download economic data for Real Residential Property Prices for United Kingdom (QGBR628BIS) from Q2 1968 to Q1 2025 about United Kingdom, residential, HPI, housing, real, price index, indexes, and price.

Median price paid for residential property in England and Wales by property type and electoral ward. Annual data.

Median price paid for residential property in England and Wales, for all property types by lower layer super output area. Annual data..

Analysis of ‘Housing Prices in London’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/arnavkulkarni/housing-prices-in-london on 30 September 2021.

--- Dataset description provided by original source is as follows ---

Content

This dataset comprises of various house listings in London and neighbouring region. It also encompasses the parameters listed below, the definitions of which are quite self-explanatory. • Property Name • Price • House Type - Contains one of the following types of houses (House, Flat/Apartment, New Development, Duplex, Penthouse, Studio, Bungalow, Mews) • Area in sq ft • No. of Bedrooms • No. of Bathrooms • No. of Receptions • Location • City/County - Includes London, Essex, Middlesex, Hertfordshire, Kent, and Surrey. • Postal Code

Inspiration

This dataset has various parameters for each house listing which can be used to conduct Exploratory Data Analysis. It can also be used to predict the house prices in various regions of London by means of Regression Analysis or other learning methods.

--- Original source retains full ownership of the source dataset ---

This page is no longer being updated. Please use the UK House Price Index instead.

Mix-adjusted house prices, by new/pre-owned dwellings, type of buyer (first time buyer) and region, from February 2002 for London and UK, and average mix-adjusted prices by UK region, and long term Annual House Price Index data since 1969 for London.

The ONS House Price Index is mix-adjusted to allow for differences between houses sold (for example type, number of rooms, location) in different months within a year. House prices are modelled using a combination of characteristics to produce a model containing around 100,000 cells (one such cell could be first-time buyer, old dwelling, one bedroom flat purchased in London). Each month estimated prices for all cells are produced by the model and then combined with their appropriate weight to produce mix-adjusted average prices. The index values are based on growth rates in the mix-adjusted average house prices and are annually chain linked.

The weights used for mix-adjustment change at the start of each calendar year (i.e. in January). The mix-adjusted prices are therefore not comparable between calendar years, although they are comparable within each calendar year. If you wish to calculate change between years, you should use the mix-adjusted house price index, available in Table 33.

The data published in these tables are based on a sub-sample of RMS data. These results will therefore differ from results produced using full sample data. For further information please contact the ONS using the contact details below.
House prices, mortgage advances and incomes have been rounded to the nearest £1,000.
Data taken from Table 2 and Table 9 of the monthly ONS release.

Download from ONS website

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 29 August 2025 and was updated with provisional data from completed transactions during July 2025.

The next release will be published 09:30 30 September 2025 and will be updated with provisional data from completed transactions during July 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 UK residential real estate market, valued at approximately £360.27 billion in 2025, is projected to experience robust growth, driven by several key factors. Strong population growth, particularly in urban centers, fuels consistent demand for housing, while low interest rates and government initiatives aimed at boosting homeownership further stimulate market activity. The market is segmented into apartments and condominiums, and landed houses and villas, with each segment exhibiting unique growth trajectories. Apartments and condominiums, particularly in London and other major cities, are expected to see higher demand due to affordability concerns and lifestyle preferences, while landed houses and villas continue to appeal to those seeking more space and privacy, particularly in suburban or rural areas. Competition among major developers such as Berkeley Group, Barratt Developments, and others influences pricing and construction activity. While challenges exist, such as fluctuating economic conditions and rising construction costs, the overall outlook for the UK residential real estate market remains positive. The market's performance is also influenced by broader economic factors, such as inflation and employment rates, and is likely to see regional variations, with London and the South East generally commanding higher prices. The market's growth is expected to continue through 2033, with a compound annual growth rate (CAGR) of 5.75%. This growth will likely be influenced by factors such as evolving demographic trends (including increasing urbanization and family sizes), government policies impacting the housing market, and technological advancements impacting the construction and sales processes. International investment continues to play a significant role, especially in prime London properties. However, the market is susceptible to external shocks, such as changes in interest rates or economic downturns. Understanding these factors is crucial for investors and stakeholders operating within the UK residential real estate sector. Market analysis suggests continued demand for sustainable and energy-efficient housing, influencing the development of future projects. This comprehensive report provides an in-depth analysis of the UK residential real estate market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period spanning 2025-2033, this research offers invaluable insights for investors, developers, and industry professionals seeking to navigate this dynamic market. The report leverages extensive data analysis, covering key segments, emerging trends, and major players, to provide a clear understanding of market dynamics and future growth potential. High-search-volume keywords like UK property market, UK house prices, London property market, UK residential real estate investment, build-to-rent UK, multifamily UK, and UK housing market forecast are integrated throughout to ensure maximum online visibility. Recent developments include: May 2023: A UAE-based investment manager, Rasmala Investment Bank, has launched a USD 2bn ( €1.8bn) UK multifamily strategy for a five-year period to build a USD 2bn portfolio of UK residential properties. The strategy is focused on the UK market for multifamily properties through a Shariah-compliant investment vehicle, initially targeting the serviced apartment (SAP) and BTR (build-to-rent) subsectors within and around London. Seeded by Rasmala Group, the strategy is backed by an active investment pipeline for the next 12 – 18 months., November 2022: ValuStrat, a Middle East consulting company, increased its foothold in the UK by acquiring an interest in Capital Value Surveyors, a real estate advisory services company with offices in London. The UK continues to be one of the most established real estate markets worldwide and attracts foreign investors regularly. They are excited to expand their presence there to better serve all of their clients, both in the UK and the Middle East.. Key drivers for this market are: Demand for New Dwellings Units, Government Initiatives are driving the market. Potential restraints include: Supply Chain Disruptions, Lack of Skilled Labour. Notable trends are: Increasing in the United Kingdom House Prices.

More than **** of London's boroughs witnessed an annual decrease in residential property prices as of June 2024. The City of Westminster, one of the most expensive areas for housing in London, experienced the greatest decline in prices, amounting to ** percent year-on-year. In Bexley, the borough with the highest increase, the cost of buying a residential property rose by *** percent. The City of Westminster, Kensington and Chelsea, and the City of London, which happen to be

Median price paid for residential property in England and Wales, by property type and middle layer super output area. Annual data.

This table shows the average House Price/Earnings ratio, which is an important indicator of housing affordability. Ratios are calculated by dividing house price by the median earnings of a borough.

The Annual Survey of Hours and Earnings (ASHE) is based on a 1 per cent sample of employee jobs. Information on earnings and hours is obtained in confidence from employers. It does not cover the self-employed nor does it cover employees not paid during the reference period. Information is as at April each year. The statistics used are workplace based full-time individual earnings.

Land Registry housing data are for the first half of the year only, so that they comparable to the ASHE data which are as at April.
Prior to 2006 data are not available for Inner and Outer London.

The lowest 25 per cent of prices are below the lower quartile; the highest 75 per cent are above the lower quartile.
The "lower quartile" property price/income is determined by ranking all property prices/incomes in ascending order.
The 'median' property price/income is determined by ranking all property prices/incomes in ascending order. The point at which one half of the values are above and one half are below is the median.

Regional data has not been published by DCLG since 2012. Data for regions has been calculated by the GLA. Data for 2014 has been calculated by the GLA.

Link to DCLG Live Tables

This house price per square metre dataset was created on 1/4/2021 and is based on the LR PPD, Domestic EPCs and NSPL downloaded on the same day. It covers over 18 million transactions with 104 variables in England and Wales between 1/1/1995 and 26/2/2021. 16 of the 104 variables come from the LR PPD, 84 variables come from Domestic EPCs, one variable (lad21cd) from NSPL and three variables (i.e.id, classt, priceper) are created by the first author. Before the data linkage, a unique identifier (id) is created for all the unique EPCs after removing the individual lodgement identifier (i.e. LMK_KEY variable). During the data linkage, a variable named classt is created to identify 1:1 and 1:n linkage relationships. After the data linkage, a derived house price per square metre variable (i.e. priceper) is obtained through dividing the transaction price paid in the LR PPD with the total floor area variable in the EPC dataset. The NSPL (May 2021 version) is used to assign the local authority unit (lad21cd) to the house price per square metre dataset. During the data linkage process, the transactions in the LR PPD assigned as category B (Additional Price Paid entry) and other property types are removed. This version of the dataset unlike the previous version can be described as ‘uncorrected’ as we have not removed transactions with any improbable price per square metre values (e.g. total floor area values are null, 0). This uncorrected version of the data will offer the most flexibility for researchers. Researchers are recommended to clean the uncorrected version according to their research need.This repository covers an updated but uncorrected version of the attribute-linked residential property price dataset in UK Data Service ReShare 854240 (https://reshare.ukdataservice.ac.uk/854240/). It is also the entire uncorrected version of the open access (limited attribute) house price per square metre dataset published by local authority in the Greater London Authority (GLA) London Datastore (https://data.london.gov.uk/dataset/house-price-per-square-metre-in-england-and-wales). This linked dataset contains individual property transactions and associated variables from the Land Registry Price Paid Dataset (LR PPD) linked at address level to all attributes, other than the individual lodgement identifier, address and postcode attributes, contained in Version VI of the Domestic Energy Performance Certificate (EPC) data published by the Ministry for Housing, Communities and Local Government (MHCLG). The linked data in this repository is the uncorrected version, recording over 18 million transactions with 104 variables in England and Wales between 1/1/1995 and 26/2/2021. We have offered technical validation and data cleaning code in UKDA ReShare 854240 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 repository also covers the original LR PPD and Domestic EPCs for the linked data (house price per square metre dataset). The LR PPD in this repository has been added in the field header in the open access LR PPD. Domestic EPCs in this repository has had removed the six variables (individual lodgement identifier, address, address 1, address 2, address 3, postcode) with a newly created unique identifier (id). This id column is newly created for Version VI Domestic EPCs, which is not the same id as in the Domestic EPCs from UK Data Service ReShare 854240. The LR PPD dataset is open and available online (https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads). The LR PPD records 25,914,817 transactions in England and Wales between 1/1/1995 and 26/02/2021. The Domestic Energy Performance Certificates (EPCs) dataset is open and available on-line from the Ministry for Housing, Communities and Local Government – MHCLG (https://epc.opendatacommunities.org/). The Domestic EPCs dataset downloaded in 1/4/2021 is the sixth released version and contains EPCs issued between 1/10/2008 and 20/9/2020, which records 18,575,357 energy performance data records with 85 fields. These two datasets both contain property information at address level but their address structures are different, thus a matching method containing a four-stage (251 matching rules) process was designed to achieve linkage between them. Details of data linkage are published in a UCL Open Environment paper: (https://ucl.scienceopen.com/hosted-document?doi=10.14324/111.444/ucloe.000019). The linkage methodology to create this version of the data remains the same as that in UK Data Service ReShare service (https://reshare.ukdataservice.ac.uk/854942/).