92 datasets found
  1. Great Recession: real house price index in Europe's weakest economies...

    • statista.com
    • flwrdeptvarieties.store
    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.

  2. Case Shiller National Home Price Index in the U.S. 2015-2024, by month

    • flwrdeptvarieties.store
    • statista.com
    Updated Mar 18, 2025
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    Statista Research Department (2025). Case Shiller National Home Price Index in the U.S. 2015-2024, by month [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F17880%2Fmortgage-industry-of-the-united-states--statista-dossier%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    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 325.78 in July 2024. This figure represents a significant increase from the index value of 166.24 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.

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

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 5, 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
    Mar 5, 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 seven million after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to 4.8 million. 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.

  4. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Feb 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
    Feb 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 Q4 2024 about appraisers, HPI, housing, price index, indexes, price, and USA.

  5. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jan 27, 2025
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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
    Jan 27, 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 Q4 2024 about sales, median, housing, and USA.

  6. Housing affordability index in the U.S. 2000-2024

    • statista.com
    Updated Mar 4, 2025
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    Statista (2025). Housing affordability index in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/201568/change-in-the-composite-us-housing-affordability-index-since-1975/
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Housing Affordability Index value in the United States plummeted in 2022, surpassing the historical record of 107.1 index points in 2006. In 2024, the housing affordability index measured 98.1 index points, making it the second-worst year for homebuyers since the start of the observation period. What does the Housing Affordability Index mean? The Housing Affordability Index uses data provided by the National Association of Realtors (NAR). It measures whether a family earning the national median income can afford the monthly mortgage payments on a median-priced existing single-family home. An index value of 100 means that a family has exactly enough income to qualify for a mortgage on a home. The higher the index value, the more affordable a house is to a family. Key factors that drive the real estate market Income, house prices, and mortgage rates are some of the most important factors influencing homebuyer sentiment. When incomes increase, consumer power also increases. The median household income in the United States declined in 2022, affecting affordability. Additionally, mortgage interest rates have soared, adding to the financial burden of homebuyers. The sales price of existing single-family homes in the U.S. has increased year-on-year since 2011 and reached 389,000 U.S. dollars in 2023.

  7. Approximated hazard rate.

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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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.

  8. Annual change of housing consumer price in U.S. cities 2000-2024

    • statista.com
    Updated Mar 20, 2025
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    Statista (2025). Annual change of housing consumer price in U.S. cities 2000-2024 [Dataset]. https://www.statista.com/statistics/196606/change-of-us-housing-consumer-price-index-since-2000/
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    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The consumer price of housing in urban areas of the United States increased by over four percent in 2024. 2022 and 2023 saw the largest price increases on a year-over-year basis since 2000. Meanwhile, 2010 was the only year in which housing prices decreased. One of the main reasons for that may have been the subprime mortgage crisis of 2007. During that period, the value of new residential construction put in place in the U.S. stagnated.

  9. o

    Replication data for: House Prices, Home Equity-Based Borrowing, and the US...

    • test.openicpsr.org
    • openicpsr.org
    Updated Aug 1, 2011
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    Atif Mian; Amir Sufi (2011). Replication data for: House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis [Dataset]. http://doi.org/10.17889/E115421V1
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    Dataset updated
    Aug 1, 2011
    Dataset provided by
    American Economic Association
    Authors
    Atif Mian; Amir Sufi
    Area covered
    United States
    Description

    Borrowing against the increase in home equity by existing homeowners was responsible for a significant fraction of the rise in US household leverage from 2002 to 2006 and the increase in defaults from 2006 to 2008. Instrumental variables estimation shows that homeowners extracted 25 cents for every dollar increase in home equity. Home equity-based borrowing was stronger for younger households and households with low credit scores. The evidence suggests that borrowed funds were used for real outlays. Home equity-based borrowing added $1.25 trillion in household debt from 2002 to 2008, and accounts for at least 39 percent of new defaults from 2006 to 2008. JEL: D14, R31

  10. Global real estate bubble risk 2024, by market

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 8, 2024
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    Statista (2024). Global real estate bubble risk 2024, by market [Dataset]. https://www.statista.com/statistics/1060677/global-real-estate-bubble-risk/
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    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, Miami was the housing market most at risk, with a real estate bubble index score of 1.79. Tokyo and Zurich followed close behind with 1.67 and 1.51, respectively. Any market with an index score of 1.5 or higher was deemed to be a bubble risk zone.

  11. House-price-to-income ratio in selected countries worldwide 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 5, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2023 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2023. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 117.5 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.

  12. F

    All-Transactions House Price Index for Hartford-East Hartford-Middletown, CT...

    • fred.stlouisfed.org
    json
    Updated Feb 25, 2025
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    (2025). All-Transactions House Price Index for Hartford-East Hartford-Middletown, CT (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS25540Q
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    jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    License

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

    Area covered
    Middletown, East Hartford, Connecticut
    Description

    Graph and download economic data for All-Transactions House Price Index for Hartford-East Hartford-Middletown, CT (MSA) (ATNHPIUS25540Q) from Q4 1977 to Q4 2024 about Hartford, CT, appraisers, HPI, housing, price index, indexes, price, and USA.

  13. Mortgage debt outstanding in the U.S. 2001-2023

    • flwrdeptvarieties.store
    • statista.com
    Updated Mar 18, 2025
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    Statista Research Department (2025). Mortgage debt outstanding in the U.S. 2001-2023 [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F17880%2Fmortgage-industry-of-the-united-states--statista-dossier%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    Despite a short period of decrease after the burst of the U.S. housing bubble and the global financial crisis, the total amount of mortgage debt in the United States has been on the rise in recent years. In 2023, the mortgage debt amounted to 20.2 trillion U.S. dollars, up from 19.3 trillion U.S. dollars in 2023. Which factors impact the amount of mortgage debt? One of the most important factors responsible for the growth of mortgage debt is the number of home sales: The more home transactions, the more mortgages are sold, adding to the volume of debt outstanding. Additionally, as house prices increase, so does the gross lending and debt outstanding. On the other hand, high numbers of housing unit foreclosures and mortgage debt restructuring and short-sales can reduce mortgage debt. Which property type has the largest share of the mortgage market? The total mortgage debt includes different property types, such as one-to-four family residential, multifamily residential, commercial, and farm, but the overwhelming share of debt can be attributed to mortgage debt one-to-four family residences.

  14. Building Construction in Belgium - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Mar 15, 2025
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    IBISWorld (2025). Building Construction in Belgium - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/belgium/industry/building-construction/200059
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2015 - 2030
    Area covered
    Belgium
    Description

    Building contractors and developers depend on various socio-economic factors, including property values, underlying sentiment in the housing market, the degree of optimism among downstream businesses and credit conditions. All of these drivers typically track in line with economic sentiment, with recent economic shocks spurring a difficult period for building contractors and developers. Nonetheless, the enduring need for building services, particularly to tackle housing shortages across the continent, ensures a strong foundation of work. Revenue is forecast to decline at a compound annual rate of 2.9% to €1.1 trillion over the five years through 2024. Building construction output recorded strong and consistent growth across Europe in the years leading up to the pandemic, buoyed by rising house prices and a return to economic stability as the effects of the financial crisis faded. Operational and supply chain disruption caused by the pandemic reversed the fortunes of building contractors and developers in 2020, as on-site activity tumbled and downstream clients either cancelled, froze or scaled back investment plans. Aided by the release of pent-up demand and supportive government policy, building construction output rebounded in 2021. Excess demand for key raw materials led to extended lead times during this period, while input costs recorded a further surge as a result of the effects of rapidly climbing energy prices following Russia’s invasion of Ukraine. Soaring costs and the impact of the economic slowdown on both the housing market and investor sentiment have led to a renewed slowdown in building construction activity across the continent. Revenue is forecast to decline by 1.5% in 2024. Revenue is forecast to increase at a compound annual rate of 4.9% to €1.5 trillion over the five years through 2029. Activity is set to remain sluggish in the medium term, as weak economic growth continues to constrain investor sentiment and high borrowing costs hold back the housing market. Contractors and developers will increasingly rely on public sector support, including measures to boost the supply of new housing as countries seek to tackle severe housing shortages.

  15. Main reasons for buying a home U.S. 2023

    • statista.com
    Updated Mar 4, 2025
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    Statista Research Department (2025). Main reasons for buying a home U.S. 2023 [Dataset]. https://www.statista.com/topics/1618/residential-housing-in-the-us/
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    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The primary reasons for purchasing a home in the United States in 2023 varied among home buyers. Approximately one in four homebuyers bought a home because they desired to have their own home. Having one's own home was mainly considered by millennial buyers during their home buying process.

  16. F

    Residential Property Prices for Japan

    • fred.stlouisfed.org
    json
    Updated Jan 30, 2025
    + more versions
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    (2025). Residential Property Prices for Japan [Dataset]. https://fred.stlouisfed.org/series/QJPN628BIS
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    jsonAvailable download formats
    Dataset updated
    Jan 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Japan
    Description

    Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q3 2024 about Japan, residential, HPI, housing, price index, indexes, and price.

  17. Crisis 2008-2009 Housing Data

    • kaggle.com
    zip
    Updated Aug 31, 2019
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    Ievgen Iosifov (2019). Crisis 2008-2009 Housing Data [Dataset]. https://www.kaggle.com/eiosifov/crisis-20082009-housing-data
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    zip(1727 bytes)Available download formats
    Dataset updated
    Aug 31, 2019
    Authors
    Ievgen Iosifov
    Description

    Context

    Data augmentation for housing prices

    Content

    US Housing Data for 2008-2009 (pre crisis and crisis year) to predict housing prices more accurate

    Inspiration

    Housing price prediction competition on Kaggle

  18. Replication dataset and calculations for PIIE PB 14-21, Is China's Property...

    • piie.com
    Updated Aug 1, 2014
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    Li-Gang Liu (2014). Replication dataset and calculations for PIIE PB 14-21, Is China's Property Market Heading toward Collapse?, by Li-Gang Liu. (2014). [Dataset]. https://www.piie.com/publications/policy-briefs/chinas-property-market-heading-toward-collapse
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    Dataset updated
    Aug 1, 2014
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Li-Gang Liu
    Area covered
    China
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Is China's Property Market Heading toward Collapse?, PIIE Policy Brief 14-21. If you use the data, please cite as: Liu, Li-Gang. (2014). Is China's Property Market Heading toward Collapse?. PIIE Policy Brief 14-21. Peterson Institute for International Economics.

  19. Direct Real Estate Activities in Switzerland - Market Research Report...

    • ibisworld.com
    Updated Mar 15, 2024
    + more versions
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    IBISWorld (2024). Direct Real Estate Activities in Switzerland - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/switzerland/industry/direct-real-estate-activities/200281
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    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2014 - 2029
    Area covered
    Switzerland
    Description

    The Direct Real Estate Activities industry have come up against numerous headwinds in recent years, ranging from the COVID-19 outbreak in 2020 to the rising base rate environment in the years since, which have inflated borrowing costs for potential buyers. This is a sharp contrast to the ultra-low interest environment seen over the decade following the 2008 financial crisis. Revenue is forecast to fall at a compound annual rate of 4.0% over the five years through 2024 to €588.2 billion, including an anticipated drop of 3.1% in 2024. However, profitability remains strong, with the average industry profit margin standing at an estimated 41.6% in 2024. Central banks across Europe adopted aggressive monetary policy in the two years through 2023 in an effort to curb spiralling inflation. This ratcheted up borrowing costs and hit the real estate sector. In the residential property market, mortgage rates picked up and hit housing transaction levels. However, the level of mortgage rate hikes has varied across Europe, with the UK experiencing the largest hike, meaning the dent to UK real estate demand was more pronounced. Commercial real estate has also struggled due to inflationary pressures, supply chain disruptions and rising rates. Alongside this, the market’s stock of office space isn’t able to satisfy business demand, with companies placing a greater emphasis on high-quality space and environmental impact – properties in many areas aren’t suitable due to their lack of green credentials. Revenue is slated to inch upwards at a compound annual rate of 3.1% over the five years through 2029 to €651.3 billion. Although economic conditions are set to improve in the short term, elevated mortgage rates will continue to weigh on demand for residential property. However, the warehousing market is positioned for solid growth, benefitting from the rise in e-commerce. This is particularly relevant to Poland, which leads the EU warehouse market.

  20. f

    Summary statistics for the average sector liquidity measure for the 11...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 21, 2023
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    Seo-Yeon Lim; Sun-Yong Choi (2023). Summary statistics for the average sector liquidity measure for the 11 sectors in the S&P 500 index. [Dataset]. http://doi.org/10.1371/journal.pone.0277261.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Seo-Yeon Lim; Sun-Yong Choi
    License

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

    Description

    The Jarque-Bera statistic tests the null hypothesis of normality for the sample returns.

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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/
Organization logo

Great Recession: real house price index in Europe's weakest economies 2005-2011

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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.

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