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.

India's residential house prices - quarterly and annual changes in house prices across cities, expert analysis and comparison with global peers.

This statistic shows the average house prices in rural and urban areas in the United Kingdom (UK) from September 2012 to August 2013. In the 12 months to August 2013, a rural house in Great Britain cost on average 206,423 British pounds (GBP) in comparison with an urban house that cost 182,710 GBP during the same period.

House Price Index MoM in Sweden remained unchanged at 1 percent in October. This dataset includes a chart with historical data for Sweden House Price Index MoM.

Purpose and brief description The house price index measures the inflation in the residential property market. The house price index reflects price developments for all residential properties purchased by households (apartments, terraced houses, detached houses), regardless of whether they are new or existing. Only market prices are taken into account, so self-build homes are excluded. The price of the land is included in the price of the properties. Population Real estate transactions involving residential properties Periodicity Quarterly. Release calendar Results available 3 months after the reference period Definitions House price index: The house price index measures changes in the prices of new or existing dwellings, regardless of their use or previous owner. Inflation - house price index: Inflation is defined as the ratio between the value of a given quarter and that of the same quarter of the previous year. Weighting - house price index: Weighting based on the national accounts (gross fixed capital formation in housing) and the total number of real estate transactions involving residential properties. Type of dwelling according to the classification set out in Regulation (EU) No 93/2013 on housing price indices. Technical information The house price index measures the price evolution of real estate prices on the market of private property. The index follows price changes of new or existing residential real estate purchased by households, irrespective of their purpose (letting or owner-occupying). Only market prices are taken into account. Houses built by their owners are therefore not included. The price of the building plot is included in the house price. The house price index is based on real estate transaction data from the General Administration of the Patrimonial Documentation of the FPS Finances. The prices used are those included in the deeds of sale. Given the time between the date on which the preliminary sales agreement is signed and the date on which the deed is executed (between three and four months), this index measures the price evolution with a delay compared to the actual date on which the sales price is set. This delay is inherent to the data source. The house price index is calculated by the European Union Member States, Norway and Iceland. Eurostat calculates the index for the Euro area (as well as for the European Union as a whole) using the harmonised indices of the Member States. Given the role of the housing market in the economic and financial crisis of 2008, the house price index was included in the indicators used in the procedure to prevent and correct macroeconomic imbalances in the European Union. The house price index is calculated under the European Regulation 2016/792 on harmonised indices of consumer prices and the house price index and 2023/1470 laying down the methodological and technical specifications as regards the house price index and the owner-occupied housing price index. Data are available from 2005 onward for Belgium as well as for the European Union and the majority of European countries. The house price index can be broken down by new houses and existing houses. The weights of these two items in the overall index are determined by the gross fixed capital formation in houses (for the new houses) and the total value of transactions of the previous year (for the existing houses). Until 2013, the house price index of new houses was roughly estimated based on the output price index in the construction sector. Since 2014, it is also based on real estate transaction data. House price index for existing houses is available per region since 2010. The data have therefore been completely reviewed when the results for the fourth quarter of 2023 were published in March 2024. Since the houses that are put up for sale differ from one quarter to another, the changes in characteristics are processed with hedonic regression models to eliminate price fluctuations due to changes in characteristics of the properties sold. These models aim to estimate the theoretical price based on the characteristics and location of the houses sold. The index is then calculated based on changes in the average prices observed and adjusted by a factor depending on the differences in quality observed between dwellings sold during the different periods.

This statistic shows the percentage change on the previous year in the four largest municipalities in the Netherlands from the fourth quarter of 2013 to the fourth quarter of 2017. In the fourth quarter of 2017, housing prices in the municipality of Amsterdam increased with approximately 13.4 percent compared to the same period in the previous year. In recent years, the housing market has continued to rise in the Netherlands due to low mortgage rates, a recovering economy and a high level of consumer confidence. For example, the number of registered transactions reached a value of approximately 215,000 in 2016 and the average selling price of houses was higher than in 2013, when prices reached a low point. In 2018, real estate prices are expected to increase with five percent as a high number of sales, combined with an increasingly scarce supply, are expected to push the housing price up.

Key information about House Prices Growth

• Netherlands house prices grew 11.5% YoY in Jan 2025, following an increase of 10.9% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1996 to Jan 2025, with an average growth rate of 4.7%.
• House price data reached an all-time high of 20.9% in Jan 2022 and a record low of -9.6% in Jan 2013.

House Price Index YoY in Sweden remained unchanged at 1 percent in October. This dataset includes a chart with historical data for Sweden House Price Index YoY.

Housing Index in India increased to 122 points in the first quarter of 2025 from 120 points in the fourth quarter of 2024. This dataset provides - India NHB Residex - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The purpose of this study was to understand the relationship between happiness and housing prices in Canada. The happiness data were obtained from the General Social Survey between 2009 and 2013, asking respondents to report overall happiness level by using scale ranging between 1 to 10 points. House Price Indexes at the provincial level were constructed to cover the same period. The relationship between average house price change and average happiness was estimated using Ordinary Least Square and Logistic Regression techniques. Individual's characteristics were used as control variables. The study found that average happiness level is positively and significantly related to the change in housing prices for one group and not for another - for homeowners but not for renters. In addition, individuals with better health are much happier than individuals with poor health. Similarly, individuals with higher income are happier than individuals with less income. The implication of this study is that the government should design attractive policies to encourage homeownerships.

Annual house price data based on a sub-sample of the Regulated Mortgage Survey.

Graph and download economic data for All-Transactions House Price Index for Bethesda-Rockville-Frederick, MD (MSAD) (DISCONTINUED) (ATNHPIUS13644Q) from Q2 1976 to Q1 2013 about Bethesda, MD, appraisers, HPI, housing, price index, indexes, price, and USA.

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. Pre-2013 Land Registry housing data are for the first half of the year only, so that they are comparable to the ASHE data which are as at April. This is no longer the case from 2013 onwards as this data uses house price data from the ONS House Price Statistics for Small Areas statistical release. 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 since 2014 has been calculated by the GLA using Land Registry house prices and ONS Earnings data. Link to DCLG Live Tables An interactive map showing the affordability ratios by local authority for 2013, 2014 and 2015 is also available.

What is the price of a house in Belgium? In 2022, a house in Belgium would cost approximately 319,000 euros. However, that there are large price differences between the three Belgian regions. A house in the Brussels Capital-Region (the city of Brussels along and its surrounding villages) cost about double the price of a house in Wallonia. Of the Belgian provinces, houses in Hainaut were the cheapest. The ranking shown here only includes what in Flemish Dutch is referred to as “woonhuizen” and as “maisons” in French and therefore does not include apartments.

How much is an apartment in Belgium?

In 2022, an apartment in Belgium would cost approximately 260,000 euros. Apartment prices increased by about four percent compared to 2021, which was lower than the house prices (eight percent).

Is residential property in Belgium expensive when compared to the rest of Europe?

The house price index (HPI) of Belgium did not increase as fast as that of other European countries in 2022. Residential property in Belgium (which includes both newly constructed as well as existing property) increased by six percent between the second quarter of 2021 and the second quarter of 2022, whereas prices in Estonia and Czechia increased by more than 20 percent.

Graph and download economic data for All-Transactions House Price Index for Lafayette, IN (MSA) (DISCONTINUED) (ATNHPIUS29140Q) from Q2 1985 to Q1 2013 about Lafayette, IN, appraisers, HPI, housing, price index, indexes, price, and USA.

🇬🇧 United Kingdom English 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. Pre-2013 Land Registry housing data are for the first half of the year only, so that they are comparable to the ASHE data which are as at April. This is no longer the case from 2013 onwards as this data uses house price data from the ONS House Price Statistics for Small Areas statistical release. 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 since 2014 has been calculated by the GLA using Land Registry house prices and ONS Earnings data. Link to DCLG Live Tables An interactive map showing the affordability ratios by local authority for 2013, 2014 and 2015 is also available.

This table shows the changes of the sale prices of existing own homes by COROP and 25 biggest municipalities (more then 100.000 inhabitants on 01-01-2005). Besides the price indices, also the numbers sold, the average purchase price of these dwellings and the total sum of the puchase prices of these dwellings are published. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and Value Immovable Property (in Dutch: WOZ) of all dwellings in The Netherlands. Indices can fluctuate, for example when the number of dwellings sold in a region is limited. In that case it is recommended to use the long term change of the index. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price is, however, not an indicator for price developments of existing own homes. For more information on this subject, see the article at chapter 3 "Why the average purchase price is not an indicator". Data available from: January 1995 - December 2012. Status of the figures: The figures are definitive. When are new figures published? This table is stopped as from 3-8-2013 and will be continued as House Price Index by region; existing own homes, 2010 = 100. See paragraph 3.

This table provides insight into the number of existing homes for sale, the average supply time and the average asking price per house and per m². These are homes that are offered for sale on the internet. The houses are only taken into account if they occur in the housing stock on 1 January of the reporting year. The figures are broken down by housing type. The table contains information on the purchase offer at the end of a period. Homes that are sold within one calendar month will not be counted. The data will be further broken down by parts of the country, provinces, COROP areas and 4 largest municipalities.

As of reporting year 2016, CBS will no longer publish data on metropolitan agglomerations and urban regions. Due to various social developments, the philosophy and method underlying the demarcation are no longer topical. In addition, it appears that, depending on the scope of application, other authorities use a different classification of metropolitan agglomerations and urban regions, which means that it is no longer possible to speak of a single standard.

Data available from February 2013 to December 2016.

Status of the figures: The data is final.

Changes as of 31 January 2020: None, this table has been discontinued. For all months, only homes that appear in the BAG on 1 January 2016 are included with the status ‘in use’. The December figures have been corrected to: homes that will be offered again on the internet within four weeks. These are considered to have been on sale throughout the period.

When are new figures coming? No longer applicable. Due to the loss of funding, new data will no longer be available for this statistics from 1 January 2017. For more information see the link in paragraph 3.