In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in August 2024, prices reached a new peak, with the average home costing close to 290,000 British pounds. That 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 50 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 decline in house prices in 2022? 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 14 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 10-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

House prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In June 2024, house prices increased by 2.7 percent. According to the Nationwide Building Society, the average house price exceeded 265,000 British pounds in 2022. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.

The average house price in England started to increase in the first half of 2024, after falling by over three percent year-on-year in December 2023. In June 2024, the house price index amounted to 149.7 index points, suggesting an increase in house prices of 2.4 percent since the same month in 2023 and a roughly 50 percent rise since 2015 - the baseline year for the index. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by three percent. Between 2024 and 2028, the average house price growth is projected at 2.7 percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded 150 index points, meaning that since 2015 which was the base year for the index, house prices had increased by 50 percent. In just two years, between 2020 and 2022, the index surged by 30 index points. As the market stood in December 2023, the average price for a home stood at approximately 284,691 British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. National and Other Areas figure changed for 2015Q4 on 27/6/15 as revised data received from Local Authorities (includes houses and apartments measured in €)

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. The Land Registry Price Paid Data (PPD) dataset is open, available online (https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads). The Land Registry PPD records 24,852,949 transactions in England and Wales between 1/1/1995 and 31/10/2019. Domestic Energy Performance Certificates (EPCs) dataset is open and available on-line from the Ministry for Housing, Communities and Local Government - MHCLG. Domestic EPC record a property’s energy performance and its building stock information, such as its total floor area and its number of habitable rooms. The current Domestic EPCs dataset is the third released version and contains certificates issued between 1/10/2008 and 31/8/2019, which records 18,575,357 energy performance data records with 84 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.

Displacement risk indicator classifying census tracts according to single-family home sale prices in census tracts where at least 100 single-family homes exist. We classify arms-length transactions only along two dimensions:The median price of sales within the census tract for the specified year, balancing between nominal sale price and sale price per square foot.The change in median sale price (again balanced between nominal sale price and price per square foot) from the previous year.

Released under formal Government Information Public Access (GIPA)

Application to Department of Finance, Services and Innovation (DFSI) - FA#80 16-17

A list of Government properties sold since 1 July 2014 (at at 1 December 2016)

The Inventory of Owned and Leased Properties (IOLP) allows users to search properties owned and leased by the General Services Administration (GSA) across the United States, Puerto Rico, Guam and American Samoa. The Owned and Leased Data Sets include the following data except where noted below for Leases: Location Code - GSA’s alphanumeric identifier for the building Real Property Asset Name - Allows users to find information about a specific building Installation Name - Allows users to identify whether a property is part of an installation, such as a campus Owned or Leased - Indicates the building is federally owned (F) or leased (L) GSA Region - GSA assigned region for building location Street Address/City/State/Zip Code - Building address Longitude and Latitude - Map coordinates of the building (only through .csv export) Rentable Square Feet - Total rentable square feet in building Available Square Feet - Vacant space in building Construction Date (Owned Only) - Year built Congressional District - Congressional District building is located Senator/Representative/URL - Senator/Representative of the Congressional District and their URL Building Status (Owned Only) - Indicates building is active Lease Number (Leased Only) - GSA’s alphanumeric identifier for the lease Lease Effective/Expiration Dates (Leased Only) - Date lease starts/expires Real Property Asset Type - Identifies a property as land, building, or structure

Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.

Mean price paid for new residential property in England and Wales, by property type and subnational geographies. Annual data.

Displacement risk indicator showing the number of property transactions of single-family homes recorded by the King County Assessor that can be classified as "flips" (meaning that the home had previously been sold within the past year and that the sale price had increased between sales at least twice as fast as the increase in regional housing Consumer Price Index during the same time period). Summarized at the census tract level; available for every year from 2004 through the most recent year of available data.

Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne by CLUE Small area.

Median prices for dwellings/townhouses, and apartments by their year of settlement for the City of Melbourne.

This dataset provides information on structures that have had multiple National Flood Insurance (NFIP) claims across the history of the program. The data contains NFIP-insured structures that fall within the four categories of Repetitive Loss and Severe Repetitive Loss that FEMA tracks. Definitions of these categories are provided in the field descriptions. There are also fields to show whether a structure is currently NFIP-insured, has been mitigated, and other characteristics. The data includes properties that have since been mitigated or demolished and may no longer considered to be in any of the listed categories.rnLocation information has been redacted to protect personal privacy. Location information is derived from reported address, geocoding of that address, and reported NFIP community. Because NFIP insurance claims data spans the history of the NFIP, many of the structures have poor address information resulting in poor or missing coordinates and additional location fields that rely on those coordinates. An effort has been made to fill in missing data and resolve conflicts between state, county, community, and census block group. Because of this effort, emstatistics derived from this data may differ from those reported elsewhere by FEMA or others/em.rnThere is a lot of interest in this data as it touches many program areas of the NFIP and serves as an indicator of flood risk and mitigation need.rnrnFEMA's terms and conditions and citation requirements for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page: https://www.fema.gov/about/openfema/terms-conditions.rnrnFor answers to Frequently Asked Questions (FAQs) about the OpenFEMA program, API, and publicly available datasets, please visit: https://www.fema.gov/about/openfema/faq.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

This dataset contains the properties that were mitigated by projects funded under the Hazard Mitigation Assistance (HMA) grant programs. FEMA administers three programs that provide funding for eligible mitigation planning and projects to reduce disaster losses and protect life and property from future disaster damages. The three programs are the Hazard Mitigation Grant Program (HMGP), Flood Mitigation Assistance (FMA) grant program, and Pre-Disaster Mitigation (PDM) grant program. This dataset also contains data from the HMA grant programs that were eliminated by the Biggert Water Flood Insurance Reform Act of 2012 (BW-12): Repetitive Flood Claims (RFC) grant program and Severe Repetitive Loss (SRL) grant program. For more information on the Hazard Mitigation Assistance grant programs, please visit: https://www.fema.gov/grants/mitigation.rnrnThe dataset contains properties by project identifier, city, zip code, state and region and does not contain any Personally Identifiable Information (PII). The mitigated property dataset can be joined to the OpenFEMA Hazard Mitigation Assistance Funded Project dataset by the Project Identifier field. Note, not all projects in the Hazard Mitigation Assistance Funded Project dataset will have mitigated properties (e.g., Planning and Management Cost projects). In some cases data was not provided by the subgrantee (sub-recipient), grantee (recipient) and/or entered into the FEMA mitigation grant systems. The information is likely available as part of the paper file which is considered the file of record.rnrnThis is raw, unedited data from FEMA's mitigation grant systems (NEMIS-MT and e-Grants) and as such is subject to a small percentage of human error. The financial information is derived from FEMA's mitigation grant systems and not FEMA's official financial systems. Due to differences in reporting periods, status of obligations and how business rules are applied, this financial information may differ slightly from official publication on public websites such as www.usaspending.gov; this dataset is not intended to be used for any official federal financial reporting.rnrnMissing values - In some cases data was not provided by the subgrantee (subrecipient), grantee (recipient) and/or entered into the FEMA mitigation grant systems. The information is likely available as part of the paper file which is considered the file of record.rnrnA newer version of this OpenFEMA data set has been released. This older dataset version will no longer be updated and will be archived by the end of April 2020. The following page details the latest version of this data set:https://www.fema.gov/openfema-data-page/hazard-mitigation-assistance-mitigated-properties-v2. CSV and JSON Files can be downloaded from the 'Full Data' section.rnrnTo access the dataset through an API endpoint, visit the 'API Endpoint' section of the above page. Accessing data in this fashion permits data filtering, sorting, and field selection. The OpenFEMA API Documentation page provides information on API usage. rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk FEMA-News-Desk@dhs.gov or call (202) 646-3272. For inquiries about FEMA's Hazard Mitigation Assistance grant program data and Open government program, please contact the OpenFEMA team via email OpenFEMA@fema.dhs.gov and FEMA-HMAAnalytics@fema.dhs.gov.