100+ datasets found
  1. Average sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

  2. c

    Data from: Comparing Two House-Price Booms

    • clevelandfed.org
    Updated Feb 27, 2024
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    Federal Reserve Bank of Cleveland (2024). Comparing Two House-Price Booms [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2024/ec-202404-comparing-two-house-price-booms
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    In this Economic Commentary , we compare characteristics of the 2000–2006 house-price boom that preceded the Great Recession to the house-price boom that began in 2020 during the COVID-19 pandemic. These two episodes of high house-price growth have important differences, including the behavior of rental rates, the dynamics of housing supply and demand, and the state of the mortgage market. The absence of changes in fundamentals during the 2000s is consistent with the literature emphasizing house-price beliefs during this prior episode. In contrast to during the 2000s boom, changes in fundamentals (including rent and demand growth) played a more dominant role in the 2020s house-price boom.

  3. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    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.

  4. Annual change in house prices in the UK 2015-2025, by month

    • statista.com
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    Statista, Annual change in house prices in the UK 2015-2025, by month [Dataset]. https://www.statista.com/statistics/751619/house-price-change-uk/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Apr 2025
    Area covered
    United Kingdom
    Description

    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.

  5. U

    United States House Prices Growth

    • ceicdata.com
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    CEICdata.com, United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2022 - Sep 1, 2025
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 3.3% YoY in Sep 2025, following an increase of 4.1% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Sep 2025, with an average growth rate of -12.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  6. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    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.

  7. Case Shiller National Home Price Index in the U.S. 2015-2025, by month

    • statista.com
    Updated Oct 15, 2025
    + more versions
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    Statista (2025). Case Shiller National Home Price Index in the U.S. 2015-2025, by month [Dataset]. https://www.statista.com/statistics/398370/case-shiller-national-home-price-index-monthly-usa/
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    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Aug 2025
    Area covered
    United States
    Description

    Home prices in the U.S. reach new heights The American housing market continues to show remarkable resilience, with the S&P/Case Shiller U.S. National Home Price Index reaching an all-time high of 331.69 in June 2025. This figure represents a significant increase from the index value of 166.23 recorded in January 2015, highlighting the substantial growth in home prices over the past decade. The S&P Case Shiller National Home Price Index is based on the prices of single-family homes and is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The S&P Case Shiller National Home Price Index series also includes S&P/Case Shiller 20-City Composite Home Price Index and S&P/Case Shiller 10-City Composite Home Price Index – measuring the home price changes in the major U.S. metropolitan areas, as well as twenty composite indices for the leading U.S. cities. Market fluctuations and recovery Despite the overall upward trend, the housing market has experienced some fluctuations in recent years. During the housing boom in 2021, the number of existing home sales reached the highest level since 2006. However, transaction volumes quickly plummeted, as the soaring interest rates and out-of-reach prices led to housing sentiment deteriorating. Factors influencing home prices Several factors have contributed to the rise in home prices, including a chronic supply shortage, the gradual decline in interest rates, and the spike in demand during the COVID-19 pandemic. During the subprime mortgage crisis (2007-2010), the construction of new homes declined dramatically. Although it has gradually increased since then, the number of new building permits, home starts, and completions are still shy from the levels before the crisis. With demand outweighing supply, competition for homes can be fierce, leading to bidding wars and soaring prices. The supply of existing homes is further constrained, as homeowners are less likely to sell and move homes due to the worsened lending conditions.

  8. city house info

    • figshare.com
    xlsx
    Updated Apr 27, 2021
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    zeng shian (2021). city house info [Dataset]. http://doi.org/10.6084/m9.figshare.14493858.v1
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    xlsxAvailable download formats
    Dataset updated
    Apr 27, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    zeng shian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data in this paper are divided into two main sections, which are data on the housing market and data on epidemic case information. The time span of the data sample is from December 1, 2019 to April 26, 2020.The original data of the housing market aspect such as the second-hand house price index in Wuhan and the surrounding provincial capital cities were obtained from Chain Home and Baidu Maps. Among them, there are 53,541 valid records of residential transactions in second-hand neighborhoods, with a final total of 347,720 after data cleaning (5582 in Wuhan; 5710 in Hefei; 7988 in Xi'an; 2066 in Changsha; 5910 in Zhengzhou; and 7464 in Chongqing).

  9. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  10. Real estate prices coronavirus impact in Spain 2020, by region

    • statista.com
    Updated Jan 15, 2021
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    Statista (2021). Real estate prices coronavirus impact in Spain 2020, by region [Dataset]. https://www.statista.com/statistics/1196065/variation-real-estate-prices-due-to-coronavirus-spain-by-region/
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    Dataset updated
    Jan 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Spain
    Description

    La Rioja was the Spanish region where the pandemic impact on real estate prices was higher compared to the previous year, with a decrease of almost 16% in the last quarter of 2020. The only place in Spain where there was an increase in comparison with the pre-pandemic data was in the autonomous city of Melilla.

  11. Analysis of Spanish Apartment Pricing and Size

    • kaggle.com
    zip
    Updated Jan 16, 2023
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    The Devastator (2023). Analysis of Spanish Apartment Pricing and Size [Dataset]. https://www.kaggle.com/datasets/thedevastator/analysis-of-spanish-apartment-pricing-and-size-p/discussion
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    zip(65331467 bytes)Available download formats
    Dataset updated
    Jan 16, 2023
    Authors
    The Devastator
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Analysis of Spanish Apartment Pricing and Size Post-COVID-19

    Investigating the Impact of the Pandemic

    By [source]

    About this dataset

    This dataset provides an in-depth insight into Spanish apartment prices, locations and sizes, offering a comprehensive view of the effects of the Covid-19 crisis in this market. By exploring the data you can gain valuable knowledge on how different variables such as number of rooms, bathrooms, square meters and photos influence pricing, as well as key details such as description and whether or not they are recommended by reviews. Furthermore, by comparing average prices per square meter regionally between different areas you can get a better understanding of individual apartment value changes over time. Whether you are looking for your dream home or simply seeking to understand current trends within this sector this dataset is here to provide all the information necessary for both people either starting or already familiar with this industry

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset includes a comprehensive collection of Spanish apartments that are currently up for sale. It provides valuable insight into the effects of the Covid-19 pandemic on pricing and size. With this guide, you can take advantage of all the data to explore how different factors like housing surface area, number of rooms and bathrooms, location, number of photos associated with an apartment, type and recommendations affect price.

    • First off, you should start by taking a look at summary column which summarizes in one or two lines what each apartment is about. You can quickly search some patterns which could give important information about the market current situation during COVID-19 crisis.

    • Explore more in depth each individual apartment by looking at its description section for example if it refers to particular services available like swimming pool or gymnasiums . Consequently those extra features usually bumps up the prices higher since buyers are keen to have such luxury items included in their purchase even if it’s not so affordable sometimes..

    • Start studying locationwise since it might gives hint as to what kind preof city we have eirther active market in terms equity investment , home stay rental business activities that suggest opportunities for considerable return on investment (ROI). Even further detailed analysis such as comparing net change over time energy efficient ratings electrical or fuel efficiency , transport facilities , educational level may be conducted when choosing between several apartments located close one another ..

    • Consider multiple column ranging from price value provided (price/m2 )to size sqm surface area measure and count number of rooms & bathrooms . Doing so will help allot better understanding whether purchasing an unit is worth expenditure once overall costs per advantages estimated –as previously acknowledged apps features could increase prices significantly- don’t forget security aspect major item critical home choice making process affording protection against Intruders ..

    • An interesting but tricky part is Num Photos how many were included –possibly indicates quality build high end projects appreciate additional gallery mentioning quite informative panorama around property itself - while recomendation customarily assumes certain guarantees warranties unique promise provided providing aside prospective buyer safety issues impose trustworthiness matters shared among other future residents …

    • Finally type & region column should be taken into account reason enough different categories identifies houses versus flats diversely built outside suburban villas contained inside specially designed mansion areas built upon special requests .. Therefore usage those two complementary field help finding right desired environment accompaniments beach lounge bar attract nature lovers adjacent mountainside

    Research Ideas

    • Creating an interactive mapping tool that showcases the average prices per square meter of different cities or regions in Spain, enabling potential buyers to identify the most affordable areas for their desired budget and size.
    • Developing a comparison algorithm that recommends the best options available depending on various criteria such as cost, rooms/bathrooms, recommended status, etc., helping users make informed decisions when browsing for apartments online.
    • Constructing a model that predicts sale prices based on existing data trends and analyses of photos and recommendations associated wit...
  12. I

    Indonesia Residential Property Price Index: 18 Cities: Large

    • ceicdata.com
    Updated May 25, 2018
    + more versions
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    CEICdata.com (2018). Indonesia Residential Property Price Index: 18 Cities: Large [Dataset]. https://www.ceicdata.com/en/indonesia/residential-property-price-index-by-cities
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    Dataset updated
    May 25, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    Residential Property Price Index: 18 Cities: Large data was reported at 107.304 2018=100 in Dec 2024. This records an increase from the previous number of 107.109 2018=100 for Sep 2024. Residential Property Price Index: 18 Cities: Large data is updated quarterly, averaging 102.588 2018=100 from Mar 2018 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 107.304 2018=100 in Dec 2024 and a record low of 99.532 2018=100 in Mar 2018. Residential Property Price Index: 18 Cities: Large data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF010: Residential Property Price Index: by Cities. [COVID-19-IMPACT]

  13. Commercial Banks Aid Canada’s Housing Market

    • ibisworld.com
    Updated Sep 1, 2021
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    IBISWorld (2021). Commercial Banks Aid Canada’s Housing Market [Dataset]. https://www.ibisworld.com/blog/commercial-banks-aid-canadas-housing-market/124/1126/
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    Dataset updated
    Sep 1, 2021
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Sep 1, 2021
    Area covered
    Canada
    Description

    Commercial banks are expected to help the federal government deflate Canada’s housing bubble after the COVID-19 (coronavirus) pandemic.

  14. o

    Data from: Do High House Prices Promote the Development of China's Real...

    • openicpsr.org
    Updated Dec 2, 2023
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    wei fan (2023). Do High House Prices Promote the Development of China's Real Economy? Empirical Evidence Based on the Decomposition of Real Estate Price [Dataset]. http://doi.org/10.3886/E195501V1
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    Dataset updated
    Dec 2, 2023
    Dataset provided by
    zhengzhou university
    Authors
    wei fan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1999 - 2019
    Area covered
    China
    Description

    The samples in this paper come from panel data of 35 large and medium-sized cities in China from 1999 to 2019(In order to avoid the impact of the COVID-19 Pandemic on the conclusions of this analysis, we use the data before the outbreak of the epidemic for empirical testing). Here, the variables adopted for assessing the housing bubble include price level, resident income, household population, the average wage of staff and land supply. Apart from the housing bubble index which is obtained via assessment, all the other basic data come from official statistics, including the Wind Economic Database, website of the People’s Bank of China, and National Bureau of Statistics website.

  15. H

    Hong Kong SAR, China Real Residential Property Price Index

    • ceicdata.com
    Updated May 27, 2017
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    CEICdata.com (2017). Hong Kong SAR, China Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/hong-kong/real-residential-property-price-index
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    Dataset updated
    May 27, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Hong Kong
    Variables measured
    Consumer Prices
    Description

    Key information about Hong Kong SAR (China) Gold Production

    • Hong Kong SAR (China) Real Residential Property Price Index was reported at 129.683 2010=100 in Jun 2025.
    • This records an increase from the previous number of 129.024 2010=100 for Mar 2025.
    • Hong Kong SAR (China) Real Residential Property Price Index data is updated quarterly, averaging 49.873 2010=100 from Dec 1979 to Jun 2025, with 183 observations.
    • The data reached an all-time high of 198.526 2010=100 in Sep 2018 and a record low of 28.660 2010=100 in Sep 1984.
    • Hong Kong SAR (China) Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
    • The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

  16. Descriptive statistics of key variables.

    • plos.figshare.com
    xls
    Updated Sep 5, 2025
    + more versions
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    Dasom Han; Chang Gyu Choi (2025). Descriptive statistics of key variables. [Dataset]. http://doi.org/10.1371/journal.pone.0330932.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dasom Han; Chang Gyu Choi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study examines the spatial dynamics of urban vegetation and its impact on housing prices in Chicago, analyzing data from both pre- and post-COVID-19 periods. Employing Ordinary Least Squares (OLS) and Multiscale Geographically Weighted Regression (MGWR) models, we assess how the effects of green spaces on property values vary across different neighborhoods. The OLS model generally indicates a positive correlation between increased vegetation and housing prices. In contrast, the MGWR model reveals that the benefits of urban green spaces to property values are not uniformly distributed and exhibit significant variability. Notably, in some South Side areas of Chicago, increases in green space correlate with declines in property values, a sensitivity that intensified post-pandemic, leading to notable price declines. Conversely, the North Side, characterized as a higher-income area, shows greater resilience to the impacts of both increased green spaces and the COVID-19 pandemic, with less susceptibility to economic downturns. This research underscores the intricate interplay between urban green spaces and economic factors, highlighting how local socio-economic conditions and urban planning strategies can influence the economic benefits of vegetation. The findings provide essential insights for urban policymakers and planners striving to promote sustainable development and equitable economic growth in urban environments.

  17. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost ************* after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to ***********. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  18. g

    Evolution of the price of new homes in France from 2020 to 2023 (covid...

    • gimi9.com
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    Evolution of the price of new homes in France from 2020 to 2023 (covid effect, shortage and then inflation) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_653694f3175edb7e16b0bf81
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    Area covered
    France
    Description

    The website plans.fr, which lists more than 1,000 house plans online, has listed price increases in construction since 2020. These increases are due to several factors: — Re 2020 replacing the ROE 2012 — COVID with shortages of materials and craftsmen — High inflation of raw materials (+ 60 % on steel,...) The rises in the price of new housing since 2020 are delusional and have never been seen in recent history.

  19. C

    China Real Residential Property Price Index

    • ceicdata.com
    Updated May 15, 2020
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    CEICdata.com (2020). China Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/china/real-residential-property-price-index
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    Dataset updated
    May 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    China
    Variables measured
    Consumer Prices
    Description

    Key information about China Gold Production

    • China Real Residential Property Price Index was reported at 90.676 2010=100 in Jun 2025.
    • This records a decrease from the previous number of 91.615 2010=100 for Mar 2025.
    • China Real Residential Property Price Index data is updated quarterly, averaging 93.824 2010=100 from Jun 2005 to Jun 2025, with 81 observations.
    • The data reached an all-time high of 112.991 2010=100 in Sep 2021 and a record low of 87.950 2010=100 in Jun 2005.
    • China Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
    • The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

  20. I

    Indonesia Real Residential Property Price Index

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2019). Indonesia Real Residential Property Price Index [Dataset]. https://www.ceicdata.com/en/indicator/indonesia/real-residential-property-price-index
    Explore at:
    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2022 - Jun 1, 2025
    Area covered
    Indonesia
    Variables measured
    Consumer Prices
    Description

    Key information about Indonesia Gold Production

    • Indonesia Real Residential Property Price Index was reported at 94.958 2010=100 in Jun 2025.
    • This records a decrease from the previous number of 96.606 2010=100 for Mar 2025.
    • Indonesia Real Residential Property Price Index data is updated quarterly, averaging 104.158 2010=100 from Mar 2002 to Jun 2025, with 94 observations.
    • The data reached an all-time high of 140.259 2010=100 in Jun 2002 and a record low of 94.958 2010=100 in Jun 2025.
    • Indonesia Real Residential Property Price Index data remains active status in CEIC and is reported by Bank for International Settlements.
    • The data is categorized under World Trend Plus’s Association: Property Sector – Table RK.BIS.RPPI: Selected Real Residential Property Price Index: 2010=100: Quarterly. [COVID-19-IMPACT]

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
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Average sales price of new homes sold in the U.S. 1965-2024

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Dataset updated
Nov 19, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

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