Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.
I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂
The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares
The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.
The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables
Cover photo by Frans Ruiter from Unsplash
The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.
The average house price in London increased slightly year-on-year as of June 2024, amid a slowdown in the UK housing market. Barking and Dagenham was the most affordable borough to buy a house, with an average price of ******* British pounds. Kensington and Chelsea stood at the other end of the spectrum, with an average price of *** million British pounds. Nevertheless, it was also one of the boroughs where prices fell the most. Demand for housing and house prices With vastly more job and cultural opportunities, megacities continue attracting people from all over the world. Since the beginning of the 1980s, the population of London has increased by more than 2 million inhabitants and in the next 20 years, it is forecast to increase by almost *** million. That makes London properties a valuable asset. Historically, property prices in London have risen steadily, albeit minor fluctuations. Residential properties transactions Since 2006, the number of residential property sales has varied between *** million and *** million transactions annually. The housing boom in 2021 led to an increase in home purchases, but the economic uncertainty, stubborn inflation, and dramatically higher interest rates have led to transactions falling.
The house price index in London reached 129.9 index points in June 2024, which was an increase from a year ago, despite a mild correction. 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 2015. How have regional house prices in the UK developed? House prices in other UK regions have risen even more than in London. In the North West, the house price index exceeded 160 index points, ranking it among the regions with the highest property appreciation. The UK house price index stood at 151 index points, suggesting an increase of 51 percent since 2015. Average house prices 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.
This statistic shows the average house prices in London, United Kingdom (UK), from 2013 to 2019. The average house price in the capital increased to over *** thousand British pounds by 2019.
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Housing Index in the United Kingdom decreased to 511.60 points in June from 511.80 points in May of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Median price paid for residential property in England and Wales by property type and electoral ward. Annual data.
Rental rates of prime rental properties in Central London are forecast to increase by about one percent more than prime properties in the commuter zone between 2024 and 2028. Rental growth during this period is expected to reach 19 percent in Central London and almost 17 percent in Outer London. Most of the increase is forecast to take place in 2026. In comparison, rents of mainstream properties are expected to increase at a lower rate.
Our 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/" class="govuk-link">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 May 2025 release includes:
As we will be adding to the April 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:
Open 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.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.
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
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Median price paid for residential property in England and Wales, by property type and Middle layer Super Output Area (MSOA). Quarterly rolling annual data. Formerly HPSSA dataset 2.
In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in March 2025, prices reached a new peak, with the average home costing ******* British pounds. This figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over ** percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the recent fluctuations in house prices? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid ** percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the **-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.
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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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United Kingdom House Price: Qtr: London data was reported at 468,543.734 GBP in Sep 2018. This records a decrease from the previous number of 468,844.925 GBP for Jun 2018. United Kingdom House Price: Qtr: London data is updated quarterly, averaging 93,611.000 GBP from Dec 1973 (Median) to Sep 2018, with 180 observations. The data reached an all-time high of 478,782.365 GBP in Mar 2017 and a record low of 12,847.658 GBP in Dec 1973. United Kingdom House Price: Qtr: London data remains active status in CEIC and is reported by Nationwide. The data is categorized under Global Database’s United Kingdom – Table UK.P001: House Price: Nationwide.
The monthly house price index in London has been steadily increasing in recent years. In June 2024, the index reached 129.9, up from 129 a year before. Nevertheless, prices widely varied in different London boroughs, with Kensington and Chelsea being the priciest boroughs for an apartment purchase.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Housing in London’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/justinas/housing-in-london on 28 January 2022.
--- Dataset description provided by original source is as follows ---
Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.
I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂
The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares
The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.
The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables
Cover photo by Frans Ruiter from Unsplash
The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.
--- Original source retains full ownership of the source dataset ---
Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.
I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂
The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares
The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.
The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables
Cover photo by Frans Ruiter from Unsplash
The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.