The quarterly Nationwide house price index for all houses in the United Kingdom (UK) exceeded 14,000 index points in the second quarter of 2025. The index shows the development of housing prices, with 1952 used as a baseline year. An index value of 14,425.6 implies a price increase of 14,000 percent between 1952 and 2025.

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.

House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Comparative analysis of Rightmove, Halifax, ONS, and Nationwide house price indices for August 2025, including regional performance and market implications

According to the forecast, the North West and Yorkshire & the Humber are the UK regions expected to see the highest overall growth in house prices over the five-year period between 2025 and 2029. Just behind are the North East and West Midlands. In London, house prices are expected to rise by **** percent.

Key information about House Prices Growth

• UK house prices grew 1.8% YoY in Nov 2025, following an increase of 2.5% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1992 to Nov 2025, with an average growth rate of -15.9%.
• House price data reached an all-time high of 26.4% in Jan 2003 and a record low of -17.5% in Feb 2009.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q3 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

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 April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. 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.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

House Price Index YoY in the United Kingdom increased to 1.90 percent in October from 1.30 percent in September of 2025. This dataset includes a chart with historical data for the United Kingdom House Price Index YoY.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

In 2025, the average standard residential land prices in Japan grew by *** percent in the four regional cities of Sapporo, Sendai, Hiroshima, and Fukuoka. Average standard residential land prices grew by *** percent nationwide. The standard land price survey is an assessment of land prices as of July 1 each year conducted by prefectural governments.

The KinderData Property Dataset delivers comprehensive nationwide coverage of U.S. residential and commercial real estate, unifying assessor, recorder, parcel, ownership, and valuation intelligence into a single, analytics-ready resource. Updated continuously from verified county, state, and federal sources, KinderData provides the depth and accuracy required for real estate investment, lending, underwriting, marketing, and large-scale data enrichment.

At the core of our dataset are 160M+ parcel-level property records, each standardized and linked across assessor and recorder files to reflect the most current ownership, transfer, and structural information available. Every record includes rich property attributes—lot specifications, land use classifications, building details, tax assessments, zoning, and improvement histories—allowing users to build precise filters, models, and segmentation strategies.

KinderData differentiates itself with Tier-1 owner contact intelligence, offering industry-leading match accuracy to individuals, households, and corporate owners. Each property may include linked owner names, mailing addresses, corporate structures, and phone/email append options, enabling seamless activation for marketing, home services outreach, acquisition campaigns, and identity resolution workflows.

Transaction data includes full historical sales chains, price points, deed types, document recordings, and transfer timestamps. This is complemented by current and historical valuations, assessment data, tax records, and localized market signals that support underwriting models, AVM enhancement, forecasting, and regional trend analysis.

Delivered in flexible formats and compatible with modern data warehouses, KinderData ensures fast integration for PropTech providers, financial institutions, home-improvement operators, and analytics teams. Whether powering property-search platforms, enriching CRMs, driving lead-generation campaigns, or supporting multi-market investment decisions, KinderData provides a unified, trusted foundation for property-level intelligence at national scale.

This dataset contains the results of the estimate of the outflow of elderly people from the housing market in four scenarios derived from the WLO cahier 'Regional developments and urbanization' (CPB & PBL 2015). These are single people over the age of 65 who die, move to institutional housing or start living together, leaving a home behind. The table contains the absolute number of outflowing households for the 40 COROP regions for 2015 and the reference years 2030 and 2050 for the four High-base and Low-base scenarios and the additional High-spread and Low-concentration scenarios. The shares of the outflow are also included in the total available supply, as are the shares of rental and owner-occupied homes in the outflow. The outflow of older households has been calculated on the basis of the calculations for WLO regional developments and urbanisation. The relative weight of this outflow in the total available supply on the housing market (in addition to regular flow and new construction) has also been mapped out. An additional model was used to estimate the ratio between rental and owner-occupied homes in the outflow. For further explanation, see Eskinasi, M. & J. Ritsema van Eck (2018), Outflow of the elderly from the housing market. The Hague: PBL. Use the WLO Package Leaflet for correct use of the reference scenarios and usage restrictions http://www.wlo2015.nl/rapporten-wlo/bijsluiter The package leaflet discusses: - Use of the reference scenarios - Use of the uncertainty assessments in addition to the reference scenarios - Role of international and national policy in the WLO scenarios - Erosion of the starting points of scenarios due to new insights, developments and policy - WLO scenarios and transition - Availability and level of detail of data Use the following source reference: Eskinasi, M. & J. Ritsema van Eck (2018) Outflow of elderly people from the housing market: a nationwide estimate based on the WLO. The Hague: PBL.

Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Oct 2025 about active listing, listing, and USA.

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Oct 2025 about median and USA.

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

The dataset mainly provides actual information about pre-sale house transactions declared by applicants nationwide, including actual transaction prices and key attributes such as area, land use zoning, and other information. (Provide MANIFEST.CSV, schema-main.csv, schema-build.csv, schema-land.csv, schema-park.csv) Released once on the 1st, 11th, and 21st of each month.

Graph and download economic data for Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Aug 2025 about supplies, new, housing, and USA.

The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.