House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

In 2024, Turkey had the highest inflation-adjusted house price index out of the ** European countries under observation, making it the country where house prices have increased the most since 2010. In Turkey, the house price index exceeded *** index points in the fourth quarter of 2024, showing an increase in real terms of *** percent since 2010, the baseline year for the index. Iceland and Estonia completed the top three, with an index value of *** and *** index points. In the past year, however, many European countries saw house prices decline in real terms. Where can I find other metrics on different housing markets in Europe? To assess the valuation in different housing markets, one can compare the house-price-to-income ratios of different countries worldwide. These ratios are calculated by dividing nominal house prices by nominal disposable income per head. There are also ratios that look at how residential property prices relate to domestic rents, such as the house-price-to-rent ratio for the United Kingdom. Unfortunately, these numbers are not available in a European overview. An overview of the price per square meter of an apartment in the EU-28 countries is available, however. One region, different markets An important trait of the European housing market is that there is not one market, but multiple. Property policy in Europe lies with the domestic governments, not with the European Union. This leads to significant differences between European countries, which shows in, for example, the homeownership rate (the share of owner-occupied dwellings of all homes). These differences also lead to another problem: the availability of data. Non-Europeans might be surprised to see that house price statistics vary in depth, as every country has their own methodology and no European body exists that tracks this data for the whole continent.

Housing Index in Norway decreased to 357.91 points in June from 359.10 points in May of 2025. This dataset provides the latest reported value for - Norway House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Housing Index in Puerto Rico increased to 245.52 points in the first quarter of 2025 from 229.51 points in the fourth quarter of 2024. This dataset provides - Puerto Rico House Price Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

What is the average price of residential property in the Netherlands? In the third quarter of 2024, a single-family home cost approximately 434,000 euros. There were large differences between the Dutch provinces, however. Single-family homes were most expensive in the central province of Utrecht with an average price of 731,000 euros, whereas a similar house in Groningen had an average price tag of 384,000 euros. Overall, the average price a private individual would pay when buying any type of existing residential property (such as single-family homes but also, for example, an apartment) was approximately 416,000 euros in 2023. Do the Dutch prefer to buy or to rent a house? The Netherlands had a slightly higher homeownership rate (the share of owner-occupied dwellings of all homes) in 2023 than other countries in Northwestern Europe. About 70 percent of all Dutch houses were owned, whereas this percentage was lower in Germany, France, and the United Kingdom. This is an effect of past developments: the price to rent ratio (the development of the nominal purchase price of a house divided by the annual rent of a similar place with 2015 as a base year) shows that the gap between house prices and rents has continuously widened in recent years. Despite a slight decline in the ratio due to slowing house price growth and accelerating rental growth, in 2023, the cost of buying a home had grown significantly faster relative to the cost of renting. Mortgages in the Netherlands Additionally, the Netherlands has one of the highest mortgage debts among private individuals in Europe. In 2024, total debt exceeded 839 billion euros. This has a political background, as the Dutch tax system allowed homeowners for many years to deduct interest paid on mortgage from pre-tax income for a maximum period of thirty years, essentially allowing for income support for homeowners. In the Netherlands, this system is known as hypotheekrenteaftrek. Note that since 2014, the Dutch government is slowly scaling this down, with a planned acceleration from 2020 onwards.

Key information about House Prices Growth

• Canada house prices grew 0.1% YoY in Jan 2025, following an increase of 0.1% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1982 to Jan 2025, with an average growth rate of 1.8%.
• House price data reached an all-time high of 16.5% in Mar 1989 and a record low of -9.7% in Apr 1991.

In 2024, the town house price index in Thailand reached 182.7 points. The country's price index of single-detached houses and town houses has increased since 2015.

Key information about House Prices Growth

• Thailand house prices grew 8.5% YoY in Sep 2021, following an increase of 4.9% YoY in the previous month.
• YoY growth data is updated monthly, available from Mar 2009 to Sep 2021, with an average growth rate of 5.7%.
• House price data reached an all-time high of 20.2% in Dec 2009 and a record low of -6.1% in Dec 2020.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Housing Index In the Euro Area increased to 150.39 points in the first quarter of 2025 from 148.47 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Euro Area House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Housing Index in Malta increased to 169.09 points in the first quarter of 2025 from 166.62 points in the fourth quarter of 2024. This dataset provides - Malta House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Median Sales Price of Existing Homes (HOSMEDUSM052N) from May 2024 to May 2025 about sales, median, housing, and USA.

This dataset provides values for AVERAGE HOUSE PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Key information about House Prices Growth

• Taiwan house prices grew 12.5% YoY in Sep 2024, following an increase of 11.9% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2002 to Sep 2024, with an average growth rate of 7.3%.
• House price data reached an all-time high of 20.9% in Mar 2010 and a record low of -6.0% in Mar 2016.

House price index in Russia, March, 2025 The most recent value is 213.01 index points as of Q1 2025, an increase compared to the previous value of 192.01 index points. Historically, the average for Russia from Q1 2001 to Q1 2025 is 88.05 index points. The minimum of 12.29 index points was recorded in Q1 2001, while the maximum of 213.01 index points was reached in Q1 2025. | TheGlobalEconomy.com

Affordability ratios calculated by dividing house prices for existing dwellings, by gross annual residence-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

DisclaimerBefore using this layer, please review the 2018 Rochester Citywide Housing Market Study for the full background and context that is required for interpreting and portraying this data. Please click here to access the study. Please also note that the housing market typologies were based on analysis of property data from 2008 to 2018, and is a snapshot of market conditions within that time frame. For an accurate depiction of current housing market typologies, this analysis would need to be redone with the latest available data.About the DataThis is a polygon feature layer containing the boundaries of all census blockgroups in the city of Rochester. Beyond the unique identifier fields including GEOID, the only other field is the housing market typology for that blockgroup.Information from the 2018 Housing Market Study- Housing Market TypologiesThe City of Rochester commissioned a Citywide Housing Market Study in 2018 as a technical study to inform development of the City's new Comprehensive Plan, Rochester 2034, and retained czb, LLC – a firm with national expertise based in Alexandria, VA – to perform the analysis.Any understanding of Rochester’s housing market – and any attempt to develop strategies to influence the market in ways likely to achieve community goals – must begin with recognition that market conditions in the city are highly uneven. On some blocks, competition for real estate is strong and expressed by pricing and investment levels that are above city averages. On other blocks, private demand is much lower and expressed by above average levels of disinvestment and physical distress. Still other blocks are in the middle – both in terms of condition of housing and prevailing prices. These block-by-block differences are obvious to most residents and shape their options, preferences, and actions as property owners and renters. Importantly, these differences shape the opportunities and challenges that exist in each neighborhood, the types of policy and investment tools to utilize in response to specific needs, and the level and range of available resources, both public and private, to meet those needs. The City of Rochester has long recognized that a one-size-fits-all approach to housing and neighborhood strategy is inadequate in such a diverse market environment and that is no less true today. To concisely describe distinct market conditions and trends across the city in this study, a Housing Market Typology was developed using a wide range of indicators to gauge market health and investment behaviors. This section of the Citywide Housing Market Study introduces the typology and its components. In later sections, the typology is used as a tool for describing and understanding demographic and economic patterns within the city, the implications of existing market patterns on strategy development, and how existing or potential policy and investment tools relate to market conditions.Overview of Housing Market Typology PurposeThe Housing Market Typology in this study is a tool for understanding recent market conditions and variations within Rochester and informing housing and neighborhood strategy development. As with any typology, it is meant to simplify complex information into a limited number of meaningful categories to guide action. Local context and knowledge remain critical to understanding market conditions and should always be used alongside the typology to maximize its usefulness.Geographic Unit of Analysis The Block Group – a geographic unit determined by the U.S. Census Bureau – is the unit of analysis for this typology, which utilizes parcel-level data. There are over 200 Block Groups in Rochester, most of which cover a small cluster of city blocks and are home to between 600 and 3,000 residents. For this tool, the Block Group provides geographies large enough to have sufficient data to analyze and small enough to reveal market variations within small areas.Four Components for CalculationAnalysis of multiple datasets led to the identification of four typology components that were most helpful in drawing out market variations within the city:• Terms of Sale• Market Strength• Bank Foreclosures• Property DistressThose components are described one-by-one on in the full study document (LINK), with detailed methodological descriptions provided in the Appendix.A Spectrum of Demand The four components were folded together to create the Housing Market Typology. The seven categories of the typology describe a spectrum of housing demand – with lower scores indicating higher levels of demand, and higher scores indicating weaker levels of demand. Typology 1 are areas with the highest demand and strongest market, while typology 3 are the weakest markets. For more information please visit: https://www.cityofrochester.gov/HousingMarketStudy2018/Dictionary: STATEFP10: The two-digit Federal Information Processing Standards (FIPS) code assigned to each US state in the 2010 census. New York State is 36. COUNTYFP10: The three-digit Federal Information Processing Standards (FIPS) code assigned to each US county in the 2010 census. Monroe County is 055. TRACTCE10: The six-digit number assigned to each census tract in a US county in the 2010 census. BLKGRPCE10: The single-digit number assigned to each block group within a census tract. The number does not indicate ranking or quality, simply the label used to organize the data. GEOID10: A unique geographic identifier based on 2010 Census geography, typically as a concatenation of State FIPS code, County FIPS code, Census tract code, and Block group number. NAMELSAD10: Stands for Name, Legal/Statistical Area Description 2010. A human-readable field for BLKGRPCE10 (Block Groups). MTFCC10: Stands for MAF/TIGER Feature Class Code 2010. For this dataset, G5030 represents the Census Block Group. BLKGRP: The GEOID that identifies a specific block group in each census tract. TYPOLOGYFi: The point system for Block Groups. Lower scores indicate higher levels of demand – including housing values and value appreciation that are above the Rochester average and vulnerabilities to distress that are below average. Higher scores indicate lower levels of demand – including housing values and value appreciation that are below the Rochester average and above presence of distressed or vulnerable properties. Points range from 1.0 to 3.0. For more information on how the points are calculated, view page 16 on the Rochester Citywide Housing Study 2018. Shape_Leng: The built-in geometry field that holds the length of the shape. Shape_Area: The built-in geometry field that holds the area of the shape. Shape_Length: The built-in geometry field that holds the length of the shape. Source: This data comes from the City of Rochester Department of Neighborhood and Business Development.

Average House Prices in Canada decreased to 690900 CAD in May from 692400 CAD in April of 2025. This dataset includes a chart with historical data for Canada Average House Prices.