The average house price in the increased by 2.7 percent year-on-year in June 2024, according to the monthly house price index. The index is calculated using data on housing transactions and measures the development of house prices, with 2015 chosen as a base year when the index value was set to 100. In June 2024, the index reached 151 index points, meaning that house prices have grown by over 51 percent since 2015. The house price index is an important measure for the residential real estate market. It is used to show changes in the value of residential properties in England, Scotland, Wales and Northern Ireland. This upwards trend in house price index, and therefore the value of residential properties, has also been observed by other measurers of house price index in the United Kingdom.

The FHFA House Price Index (FHFA HPI®) is the nation’s only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data. ​ What does the FHFA HPI represent? The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas.

U.S. Federal Housing Finance Agency, All-Transactions House Price Index for Connecticut [CTSTHPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CTSTHPI, August 2, 2023.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

This table shows the evolution of the house price index since 2016. The index makes it possible to calculate the evolution of the prices of dwellings, subdivided into apartments, houses and villas. Historically, the General Administration of Heritage Documentation (AGDP) performed its calculations based on the first quarter of 2003 as the reference period. Since then, AGDP has had complete electronic data for these calculations. Price indices could not be calculated for 2015. Indeed, the mathematical model of the AGDP was based on the output of the Cadnet/Loco application. Cadnet/Loco was replaced by STIPAD in 2015. Therefore, the sales of which data were available were insufficient to calculate an index for the whole year. In view of the improvements allowed by the new STIPAD application, we took over the publication of the index from 2016 as the reference year (=100 %). Since 2022, we have also calculated the evolution of this index by Region.

FHFA House Price IndexThe FHFA House Price Index (FHFA HPI®) is a comprehensive​ collection of publicly available house price indexes that measure changes in single-family home values based on data that extend back to the mid-1970s from all 50 states and over 400 American cities. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data.What does the FHFA HPI represent?The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas.

This statistic shows the house price index of existing dwellings in Luxembourg from 2013 to 2018. The index value of 2015 equals to 100 and is the base year used to calculate the index value. Throughout these years, the house price index in Luxembourg continuously rose to its peak in 2018. During the period in consideration, this index varied at 29.6. At the peak year the house index was 120.2.

The house price data are collected from the official website of China's National Bureau of Statistics . We acquired the month-on-month growth data of house prices since January 2006, then compiled the house price index based on January 2006 as 100. The Shanghai Stock Exchange Index (SSEI) data which are treated as stock market prices are derived from the CSMAR database. After that, we calculate the monthly house price and stock price return as , where are proxied by the monthly house price index and SSEI, and represent the returns series. 157 observations from January 2006 to March 2019 are obtained.

The Housing Price Index in India is a statistical measure designed to reflect the changes in housing prices across various regions. It is calculated by the Reserve Bank of India (RBI) using data from housing transactions, which include registration documents and mortgage data from banks and housing finance companies. The HPI is constructed using a base year, and the price levels of that base year are set at 100. Changes in the index from the base year reflect how housing prices have increased or decreased. The Reserve Bank compiles quarterly house price index (HPI) (base: 2010-11=100) for ten major cities, viz., Mumbai, Delhi, Chennai, Kolkata, Bengaluru, Lucknow, Ahmedabad, Jaipur, Kanpur and Kochi. Based on these city indices, the average house price index represents all of India's house price movements. The Housing Price Index (HPI) is a critical economic indicator that measures the changes in residential housing prices over time. In India, the HPI is an essential tool used by policymakers, economists, real estate developers, investors, and homebuyers to gauge the trends in the real estate market. The HPI helps track the inflation or deflation in the housing market, thus providing insights into the economy's overall health.

Housing Index in the United Kingdom decreased to 511.50 points in May from 513.50 points in April of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data was reported at 24,832.770 1998=100 in Dec 2008. This records an increase from the previous number of 24,608.830 1998=100 for Nov 2008. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data is updated monthly, averaging 24,642.810 1998=100 from Dec 1998 (Median) to Dec 2008, with 121 observations. The data reached an all-time high of 26,104.340 1998=100 in Mar 2003 and a record low of 23,585.500 1998=100 in Apr 2000. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.I014: Consumer Price Index: Greater Santiago: Dec1998=100.

The average house price in Northern Ireland has increased since 2015, with minor fluctuations over time. The house price index is calculated using data on housing transactions and measures the development of house prices, with 2015 chosen as a base year when the index value was set to 100. In June 2024, the house price index reached 166.8, meaning that house prices have grown by nearly 67 percent since 2015 and 6.4 percent since the same month a year ago. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

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

Key information about House Prices Growth

• Romania house prices grew 7.0% YoY in Sep 2022, following an increase of 8.5% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2010 to Sep 2022, with an average growth rate of 3.0%.
• House price data reached an all-time high of 8.5% in Jun 2022 and a record low of -17.1% in Dec 2011.

CEIC calculates House Prices Growth from quarterly Residential Property Price Index. The National Institute of Statistics provides Residential Property Price Index with base 2015=100. House Prices Growth covers Residential Settlements only. House Prices Growth prior to Q1 2017 is calculated from Residential Property Price Index with base 2009=100.

A quarterly index providing a measure of change in the price of a standardised residential property sold in NI. The index is presented for each quarter from Q1 (January-March) 2005.

The RHPI measures price changes of single-family properties, adjusted for the impact of inflation. Real values are calculated using the so-called Personal Consumption Expenditure Deflator (PCE). This PCE, so the theory goes, includes expenditures that are not counted in the Consumer Price Index(CPI), such as medical and health care expenses paid by employers and other national health programs. Because the RHPI adjusts for house-buying power, it is also a measure of housing affordability. In the fourth quarter of 2022, housing prices in real terms in Luxembourg reached an index of approximately 187.5 index points.

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. 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. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

description: The FHFA House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.; abstract: The FHFA House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

The average house price in Wales has increased since 2015, with minor fluctuations over time. The house price index is calculated using data on housing transactions and measures the development of house prices, with 2015 chosen as a base year when the index value is set to 100. In June 2024, the house price index reached 158.3 index points, meaning that house prices have grown by 58 percent since 2015 and 1.8 percent since June 2023. Among the different regions in the UK, West and East Midlands experienced the strongest growth.

Analysis of ‘Home Price Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/PythonforSASUsers/hpindex on 28 January 2022.

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

Context

The Federal Housing Finance Agency House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. The technical methodology for devising the index, collection, and publishing the data is at: http://www.fhfa.gov/PolicyProgramsResearch/Research/PaperDocuments/1996-03_HPI_TechDescription_N508.pdf

Content

Contains monthly and quarterly time series from January 1991 to August 2016 for the U.S., state, and MSA categories. Analysis variables are the aggregate non-seasonally adjusted value and seasonally adjusted index values. The index value is 100 beginning January 1991.

Acknowledgements

This data is found on Data.gov

Inspiration

Can this data be combined with the corresponding census growth projections either at the state or MSA level to forecast 24 months out the highest and lowest home index values?

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

Annual descriptive price statistics for each calendar year 2005 – 2023 for 11 Local Government Districts in Northern Ireland. The statistics include: • Minimum sale price • Lower quartile sale price • Median sale price • Simple Mean sale price • Upper Quartile sale price • Maximum sale price • Number of verified sales Prices are available where at least 30 sales were recorded in the area within the calendar year which could be included in the regression model i.e. the following sales are excluded: • Non Arms-Length sales • sales of properties where the habitable space are less than 30m2 or greater than 1000m2 • sales less than £20,000. Annual median or simple mean prices should not be used to calculate the property price change over time. The quality (where quality refers to the combination of all characteristics of a residential property, both physical and locational) of the properties that are sold may differ from one time period to another. For example, sales in one quarter could be disproportionately skewed towards low-quality properties, therefore producing a biased estimate of average price. The median and simple mean prices are not ‘standardised’ and so the varying mix of properties sold in each quarter could give a false impression of the actual change in prices. In order to calculate the pure property price change over time it is necessary to compare like with like, and this can only be achieved if the ‘characteristics-mix’ of properties traded is standardised. To calculate pure property change over time please use the standardised prices in the NI House Price Index Detailed Statistics file.