75 datasets found
  1. U.S. metro areas at highest risk of a housing downturn in recession 2019

    • statista.com
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    Statista, U.S. metro areas at highest risk of a housing downturn in recession 2019 [Dataset]. https://www.statista.com/statistics/1091659/housing-market-metro-highest-risk-downturn-recession-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    In a 2019 analysis, Riverside, California was the most at risk of a housing downturn in a recession out of the ** largest metro areas in the United States. The Californian metro area received an overall score of **** percent, which was compiled after factors such as home price volatility and average home loan-to-value ratio were examined.

  2. Global real estate bubble risk 2025, by market

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Global real estate bubble risk 2025, by market [Dataset]. https://www.statista.com/statistics/1060677/global-real-estate-bubble-risk/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    In 2025, Miami was the housing market most at risk, with a real estate bubble index score of ****. Tokyo and Zurich followed close behind with **** and ****, respectively. Any market with an index score of *** or higher was deemed to be a bubble risk zone.

  3. o

    Code and Data for: Speculative Fever: Investor Contagion in the Housing...

    • openicpsr.org
    delimited, stata
    Updated Jul 29, 2020
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    Patrick Bayer; Kyle Mangum; James W. Roberts (2020). Code and Data for: Speculative Fever: Investor Contagion in the Housing Bubble [Dataset]. http://doi.org/10.3886/E120446V1
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    stata, delimitedAvailable download formats
    Dataset updated
    Jul 29, 2020
    Dataset provided by
    American Economic Association
    Authors
    Patrick Bayer; Kyle Mangum; James W. Roberts
    License

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

    Area covered
    Boston metro areas, San Francisco, Greater Los Angeles
    Description

    Historical anecdotes of new investors being drawn into a booming asset market, only to suffer when the market turns, abound. While the role of investor contagion in asset bubbles has been explored extensively in the theoretical literature, causal empirical evidence on the topic is much rarer. This paper studies the recent boom and bust in the U.S. housing market and establishes that many novice investors entered the market as a direct result of observing investing activity of multiple forms in their own neighborhoods and that “infected” investors performed poorly relative to other investors along several dimensions.

  4. 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.

  5. o

    Replication data for: Wall Street and the Housing Bubble

    • openicpsr.org
    Updated Sep 1, 2014
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    Ing-Haw Cheng; Sahil Raina; Wei Xiong (2014). Replication data for: Wall Street and the Housing Bubble [Dataset]. http://doi.org/10.3886/E116129V1
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    Dataset updated
    Sep 1, 2014
    Dataset provided by
    American Economic Association
    Authors
    Ing-Haw Cheng; Sahil Raina; Wei Xiong
    Area covered
    Wall Street
    Description

    We analyze whether mid-level managers in securitized finance were aware of a large-scale housing bubble and a looming crisis in 2004-2006 using their personal home transaction data. We find that the average person in our sample neither timed the market nor were cautious in their home transactions, and did not exhibit awareness of problems in overall housing markets. Certain groups of securitization agents were particularly aggressive in increasing their exposure to housing during this period, suggesting the need to expand the incentives-based view of the crisis to incorporate a role for beliefs.

  6. Great Recession: real house price index in Europe's weakest economies...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: real house price index in Europe's weakest economies 2005-2011 [Dataset]. https://www.statista.com/statistics/1348857/great-recession-house-price-bubbles-eu/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005 - 2011
    Area covered
    Europe
    Description

    Portugal, Italy, Ireland, Greece, and Spain were widely considered the Eurozone's weakest economies during the Great Recession and subsequent Eurozone debt crisis. These countries were grouped together due to the similarities in their economic crises, with much of them driven by house price bubbles which had inflated over the early 2000s, before bursting in 2007 due to the Global Financial Crisis. Entry into the Euro currency by 2002 had meant that banks could lend to house buyers in these countries at greatly reduced rates of interest.

    This reduction in the cost of financing contributed to creating housing bubbles, which were further boosted by pro-cyclical housing policies among many of the countries' governments. In spite of these economies experiencing similar economic problems during the crisis, Italy and Portugal did not experience housing bubbles in the same way in which Greece, Ireland, and Spain did. In the latter countries, their real housing prices (which are adjusted for inflation) peaked in 2007, before quickly declining during the recession. In particular, house prices in Ireland dropped by over 40 percent from their peak in 2007 to 2011.

  7. T

    United Kingdom House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom House Price Index [Dataset]. https://tradingeconomics.com/united-kingdom/housing-index
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1983 - Oct 31, 2025
    Area covered
    United Kingdom
    Description

    Housing Index in the United Kingdom increased to 517.10 points in October from 514.20 points in September of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
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    jsonAvailable download formats
    Dataset updated
    Nov 25, 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 All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q3 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  9. James Hardie Stock Crash: Profit Drops 29% Amid US Housing Slump - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). James Hardie Stock Crash: Profit Drops 29% Amid US Housing Slump - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/james-hardie-shares-plummet-30-on-weak-us-housing-market/
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    xls, xlsx, doc, pdf, docxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Oct 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    James Hardie shares plunged 30% following a 29% quarterly profit drop, driven by a severe slowdown in the US housing market as homeowners delay projects and new construction faces affordability constraints.

  10. 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.

  11. T

    United States Housing Starts

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 17, 2025
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    TRADING ECONOMICS (2025). United States Housing Starts [Dataset]. https://tradingeconomics.com/united-states/housing-starts
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1959 - Aug 31, 2025
    Area covered
    United States
    Description

    Housing Starts in the United States decreased to 1307 Thousand units in August from 1429 Thousand units in July of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. Is the United States in a Housing Bubble?

    • ibisworld.com
    Updated May 11, 2022
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    IBISWorld (2022). Is the United States in a Housing Bubble? [Dataset]. https://www.ibisworld.com/blog/is-the-united-states-in-a-housing-bubble/
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    Dataset updated
    May 11, 2022
    Dataset authored and provided by
    IBISWorld
    Time period covered
    May 11, 2022
    Area covered
    United States
    Description

    The Fed has recently announced that the housing market shows abnormal trends using statistical models. Does this mean the US is in a housing bubble?

  13. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 14, 2025
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    TRADING ECONOMICS (2025). China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2011 - Oct 31, 2025
    Area covered
    China
    Description

    Housing Index in China remained unchanged at -2.20 percent in October. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. Approximated hazard rate.

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
    + more versions
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    Kwangwon Ahn; Minhyuk Jeong; Jinu Kim; Domenico Tarzia; Ping Zhang (2024). Approximated hazard rate. [Dataset]. http://doi.org/10.1371/journal.pone.0309483.t005
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kwangwon Ahn; Minhyuk Jeong; Jinu Kim; Domenico Tarzia; Ping Zhang
    License

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

    Description

    Housing markets are often characterized by price bubbles, and governments have instituted policies to stabilize them. Under this circumstance, this study addresses the following questions. (1) Does policy tightening change expectations in housing prices, revealing a regime change? (2) If so, what determines the housing market’s reaction to policy tightening? To answer these questions, we examine the effects of policy tightening that occurred in 2016 on the Chinese housing market where a price boom persisted in the post-2000 period. Using a log-periodic power law model and employing a modified multi-population genetic algorithm for parameter estimation, we find that tightening policy in China did not cause a market crash; instead, shifting the Chinese housing market from faster-than-exponential growth to a soft landing. We attribute this regime shift to low sensitivity in the Chinese housing market to global perturbations. Our findings suggest that government policies can help stabilize housing prices and improve market conditions when implemented expediently. Moreover, policymakers should consider preparedness for the possibility of an economic crisis and other social needs (e.g., housing affordability) for overall social welfare when managing housing price bubbles.

  15. Median sale price of existing homes sold in the U.S. 1990-2024 with forecast...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Median sale price of existing homes sold in the U.S. 1990-2024 with forecast for 2027 [Dataset]. https://www.statista.com/statistics/272776/median-price-of-existing-homes-in-the-united-states-from-2011/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market continues to evolve, with the median price for existing homes forecast to fall to ******* U.S. dollars by 2027. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with a modest price increase of *** percent in 2024. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in 2025, with Rhode Island and West Virginia leading the packby home appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

  16. F

    S&P CoreLogic Case-Shiller MA-Boston Home Price Index

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller MA-Boston Home Price Index [Dataset]. https://fred.stlouisfed.org/series/BOXRSA
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    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Boston, Massachusetts
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller MA-Boston Home Price Index (BOXRSA) from Jan 1987 to Sep 2025 about Boston, NH, MA, HPI, housing, price index, indexes, price, and USA.

  17. Average real estate sale price in China 1998-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average real estate sale price in China 1998-2023 [Dataset]. https://www.statista.com/statistics/242851/average-real-estate-sale-price-in-china/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, the average price of real estate in China was approximately ****** yuan per square meter, representing a decrease from the previous year. Rising prices in the real estate market Since the 1998 housing reform, property prices in China have been rising continuously. Housing in the country is now often unaffordable, especially considering the modest per capita income of Chinese households. Shanghai and Beijing even have some of the most competitive real estate markets in the world. The rapid growth in housing prices has increased wealth among homeowners, while it also led to a culture of speculation among buyers and real estate developers. Housing was treated as investments, with owners expecting the prices to grow further every year. Risk factors The expectation of a steadily growing real estate market has created a property bubble and a potential debt crisis. As Chinese real estate giants, such as China Evergrande and Country Garden, operate by continuously acquiring land plots and initiating new projects, which often require substantial loans and investments, a slowdown in property demands or a decline in home prices can significantly affect the financial situation of these companies, putting China’s banks in a vulnerable position. In addition, due to a lack of regulations and monetary constraints, the long-term maintenance issues of high-rise apartments are also a concern to the sustainable development of China’s cities.

  18. o

    Data from: COEP Replication Package for "Did the Plaza Accord Cause Japan's...

    • openicpsr.org
    • researchworks.creighton.edu
    Updated Jun 11, 2025
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    Jedediah Pida-Reese (2025). COEP Replication Package for "Did the Plaza Accord Cause Japan's Real Estate Bubble?" [Dataset]. http://doi.org/10.3886/E232661V1
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Texas Tech University
    Authors
    Jedediah Pida-Reese
    License

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

    Area covered
    Japan
    Description

    In 1985 the international exchange rate intervention known as “The Plaza Accord” was carried out between the G-5 countries, the US, Japan, Germany, France, and the UK. In this study I employ the synthetic control method (SCM) to examine if there was a causal effect of The Plaza Accord on residential housing prices in Japan. Following the agreement Japan experienced a bubble in urban real estate and the stock market. I find small and insignificant effects of the Plaza Accord on real housing prices in the several years following it, providing evidence that the Accord did not exacerbate the bubble.

  19. Subprime May Not Have Caused the 2000s Housing Crisis: Evidence from...

    • clevelandfed.org
    Updated Oct 6, 2020
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    Federal Reserve Bank of Cleveland (2020). Subprime May Not Have Caused the 2000s Housing Crisis: Evidence from Cleveland, Ohio [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2020/ec-202025-subprime-not-cause-of-housing-crisis
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    Dataset updated
    Oct 6, 2020
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Area covered
    Ohio, Cleveland
    Description

    During the 2000s housing bust, Cleveland’s Slavic Village was dubbed “ground zero of the foreclosure crisis” by the national media. Despite this, during the preceding housing boom Cleveland had stable house price growth and relatively low mortgage debt growth, a stark contrast to circumstances in areas such as California that had exceptionally high house price and mortgage debt growth. What explains the relatively minor housing boom and perceived sharp downturn in Cleveland? In this Commentary I show that while subprime debt was a prominent source of debt in Cleveland and especially in its Slavic Village neighborhood during the 2000s, it is difficult to peg subprime debt as playing a causal role in the subsequent foreclosure crisis.

  20. Direct Real Estate Activities in France - Market Research Report (2015-2030)...

    • ibisworld.com
    Updated Jul 15, 2025
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    IBISWorld (2025). Direct Real Estate Activities in France - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/france/industry/direct-real-estate-activities/200281/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    France
    Description

    Real estate activity is strongly correlated with the residential property and commercial real estate markets. The industry is characterised by high revenue volatility, as demand for property fluctuates with wider economic conditions. The majority of industry enterprises are often purposefully created structures used by other bodies, including property developers, real estate investment trusts and other investors, to carry out the specific tasks of buying and selling real estate. Revenue is estimated to inch upwards at a compound annual rate of 0.5% over the five years through 2025, including a 0.2% hike to €71.7 billion in 2025. Before the pandemic, a record-low interest rate environment and governmental incentives like the Loi Pinel scheme fuelled a thriving residential market, with home sales reaching a peak in early 2020. However, the downturn during the COVID-19 pandemic in 2020 led to a temporary slump in housing sales, denting real estate activity. Recovery was swift in 2021, buoyed by low mortgage rates and a resurgence in consumer confidence. However, since mid-2022, the industry has faced fresh challenges from soaring inflation and climbing interest rates. Residential property transactions dwindled, reaching their lowest in years by late 2023. The commercial market has also struggled, grappling with evolving work patterns and heightened borrowing costs, causing investment volumes to plunge. Subsiding inflation and interest rates have been providing opportunities for companies involved in the selling, buying and renting of real estate since 2024, but heightened uncertainty amid political instability is still restricting demand and revenue growth. Revenue is forecast to climb at a compound annual rate of 1.4% over the five years through 2030 to reach €76.8 billion. Improving economic conditions, including lower inflation and interest rates, will bolster real estate affordability and make investing in property more appealing. Demographic shifts, including urbanisation and an ageing population, will elevate demand for student and senior housing. However, challenges linger, as demand for retail spaces might suffer from strong e-commerce, while office landlords may struggle with vacancies as the hybrid work model persists. A focus on sustainability will be crucial for real estate companies, with the emphasis on green-certified buildings growing. Companies that integrate property technology like AI, blockchain and virtual reality will gain a competitive advantage and thrive in the evolving real estate market.

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Statista, U.S. metro areas at highest risk of a housing downturn in recession 2019 [Dataset]. https://www.statista.com/statistics/1091659/housing-market-metro-highest-risk-downturn-recession-usa/
Organization logo

U.S. metro areas at highest risk of a housing downturn in recession 2019

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
United States
Description

In a 2019 analysis, Riverside, California was the most at risk of a housing downturn in a recession out of the ** largest metro areas in the United States. The Californian metro area received an overall score of **** percent, which was compiled after factors such as home price volatility and average home loan-to-value ratio were examined.

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