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.

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.

Key information about House Prices Growth

• Indonesia house prices grew 1.4% YoY in Dec 2024, following an increase of 1.5% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2003 to Dec 2024, with an average growth rate of 3.1%.
• House price data reached an all-time high of 13.5% in Sep 2013 and a record low of 1.0% in Jun 2021.

CEIC calculates House Prices Growth from quarterly Residential Property Price Index. Bank Indonesia provides Residential Property Price Index with base 2018=100. House Prices Growth covers 18 major cities. House Prices Growth prior to Q1 2019 is calculated from House Price Index with base 2002=100. House Prices Growth prior to Q1 2013 covers 14 major cities.

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.

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.

In the third quarter of 2022, house prices in Colombia decreased by more than **** percent from the same quarter in 2021 when accounting for inflation. This was the third quarter in a row with a house price decrease. The largest drop in house prices was seen in the first quarter of 2022 at almost ***** percent.

House Price Index MoM in Sweden increased to 1 percent in June from 0 percent in May of 2025. This dataset includes a chart with historical data for Sweden House Price Index MoM.

Key information about House Prices Growth

• Spain house prices grew 7.7% YoY in Feb 2025, following an increase of 6.6% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 2002 to Feb 2025, with an average growth rate of 3.6%.
• House price data reached an all-time high of 21.0% in Sep 2004 and a record low of -11.7% in Apr 2013.

CEIC calculates House Prices Growth from monthly House Price Index. Tinsa provides House Price Index with base 2001=1000.

Key information about House Prices Growth

• Italy house prices grew 3.9% YoY in Sep 2024, following an increase of 2.9% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2011 to Sep 2024, with an average growth rate of 0.2%.
• House price data reached an all-time high of 5.2% in Jun 2022 and a record low of -7.1% in Mar 2013.

CEIC calculates House Prices Growth from quarterly House Price Index. Italian National Institute of Statistics provides House Price Index with base 2015=100.

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.

CEIC calculates House Prices Growth from monthly House Price Index. 2.Statistics Netherlands provides House Price Index with base 2020=100.

House Price Index YoY in Sweden decreased to 2 percent in July from 3 percent in June of 2025. 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.

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 for macroeconomic imbalances procedure of 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. Therefore, data were completely reviewed for the publication of results in the 4th quarter of 2023 in 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. This theoretical price is then compared to the actual price. Two indices are calculated, one with the actually observed transaction prices and the other with the prices estimated by the regression models. The final index is obtained by calculating the ratio of the index obtained with the actual transaction prices compared to the index obtained with the estimated prices. Therefore, the house price index may be evolving differently from the observed average prices.

Housing Price Index: 2012-13=100: Punjab: Ludhiana data was reported at 116.000 2012-2013=100 in Mar 2018. This records a decrease from the previous number of 130.000 2012-2013=100 for Dec 2017. Housing Price Index: 2012-13=100: Punjab: Ludhiana data is updated quarterly, averaging 133.000 2012-2013=100 from Jun 2013 (Median) to Mar 2018, with 20 observations. The data reached an all-time high of 153.000 2012-2013=100 in Dec 2016 and a record low of 97.000 2012-2013=100 in Sep 2013. Housing Price Index: 2012-13=100: Punjab: Ludhiana data remains active status in CEIC and is reported by National Housing Bank. The data is categorized under Global Database’s India – Table IN.EA004: Housing Price Index: National Housing Bank: Assessment Price: 2012-2013=100: Current Quarter.

This table shows the changes of the sale prices of existing own homes. 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 of a certain type of dwelling 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

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 and House Price Index by type of dwelling; existing own homes; 2010 = 100. See paragraph 3.

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

This dataset contains the ratio of lower quartile/median house price to lower quartile/median earnings in England

This dataset uses the median/lower quartile house price data sourced from ONS House Price Statistics for Small Areas (HPSSA) statistical release for years 2013-2015 and house price data sourced directly from Land Registry prior to 2013. This leads to slight differences in the distribution of affordability ratios before and after 2013 which should be noted if the dataset is used as a time series. It is planned to update the ratios with the HPSSA dataset for all years in the future.

The house price data is then compared to the median/lower quartile income data of full time workers from the Annual Survey of Hours and Earnings (ASHE) produced by the ONS.

This data was derived from Table 576 and 577, available for download as an Excel spreadsheet from the Live tables page (https://www.gov.uk/government/statistical-data-sets/live-tables-on-housing-market-and-house-prices). More details about the data sources are also available in the link provided.

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.