58 datasets found
  1. 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.

  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. 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.

  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. 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.

  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. 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.

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

    • statista.com
    Updated Sep 14, 2021
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    Statista (2021). 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 updated
    Sep 14, 2021
    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 50 largest metro areas in the United States. The Californian metro area received an overall score of 72.8 percent, which was compiled after factors such as home price volatility and average home loan-to-value ratio were examined.

  11. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Feb 25, 2025
    + more versions
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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.

  12. H

    Data from: Date-stamping US housing market explosivity

    • dataverse.harvard.edu
    Updated Mar 29, 2018
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    Mehmet Balcilar; Nico Katzke; Rangan Gupta (2018). Date-stamping US housing market explosivity [Dataset]. http://doi.org/10.7910/DVN/NSSIGL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 29, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Mehmet Balcilar; Nico Katzke; Rangan Gupta
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In this paper, the authors set out to date-stamp periods of US housing price explosivity for the period 1830–2013. They make use of several robust techniques that allow them to identify such periods by determining when prices start to exhibit explosivity with respect to its past behaviour and when it recedes to long term stable prices. The first technique used is the Generalized sup ADF (GSADF) test procedure developed by Phillips, Shi, and Yu (Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500, 2013), which allows the recursive identification of multiple periods of price explosivity. The second approach makes use of Robinson’s (Efficient Test of Nonstationary Hypotheses, 1994) test statistic, comparing the null of a unit root process against the alternative of speced orders of fractional integration. The analysis date-stamps several periods of US house price explosivity, allowing us to contextualize its historic relevance.

  13. 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.

  14. Forecast house price growth in the UK 2024-2028

    • statista.com
    Updated Jun 11, 2024
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    Statista (2024). Forecast house price growth in the UK 2024-2028 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    United Kingdom
    Description

    Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by three percent. Between 2024 and 2028, the average house price growth is projected at 2.7 percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded 150 index points, meaning that since 2015 which was the base year for the index, house prices had increased by 50 percent. In just two years, between 2020 and 2022, the index surged by 30 index points. As the market stood in December 2023, the average price for a home stood at approximately 284,691 British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

  15. 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

  16. Data from: Data and Code for: Bubbles, Crashes, and Economic Growth: Theory...

    • openicpsr.org
    Updated Jun 22, 2022
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    Pablo Guerron-Quintana; Tomohiro Hirano; Ryo Jinnai (2022). Data and Code for: Bubbles, Crashes, and Economic Growth: Theory and Evidence [Dataset]. http://doi.org/10.3886/E173441V1
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    Dataset updated
    Jun 22, 2022
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Pablo Guerron-Quintana; Tomohiro Hirano; Ryo Jinnai
    License

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

    Description

    We analyze the ups and downs in economic growth in recent decades by constructing a model with recurrent bubbles, crashes, and endogenous growth. Once realized, bubbles crowd in investment and stimulate economic growth, but expectation about future bubbles crowds out investment and reduces economic growth. We identify bubbly episodes by estimating the model using the U.S. data. Counterfactual simulations suggest that the IT and housing bubbles not only caused economic booms but also lifted U.S. GDP by almost 2 percentage points permanently, but the economy could have grown even faster if people had believed that asset bubbles would never arise.

  17. 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.

  18. New monthly housing construction starts in the U.S. 1968-2025

    • statista.com
    Updated Mar 25, 2025
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    Statista (2025). New monthly housing construction starts in the U.S. 1968-2025 [Dataset]. https://www.statista.com/statistics/184487/us-new-privately-owned-housing-units-started-since-2000/
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    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 1968 - Feb 2025
    Area covered
    United States
    Description

    In February 2025, approximately 111,100 home construction projects started in the United States. The lowest point for housing starts over the past decade was in 2009, just after the 2007-2008 global financial crisis. Since 2010, the number of housing units started has been mostly increasing despite seasonal fluctuations. Statista also has a dedicated topic page on the U.S. housing market as a starting point for additional investigation on this topic. The impact of the global recession The same trend can be seen in home sales over the past two decades. The volume of U.S. home sales began to drop in 2005 and continued until 2010, after which home sales began to increase again. This dip in sales between 2005 and 2010 suggests that supply was outstripping demand, which led to decreased activity in the residential construction sector. Impact of recession on home buyers The financial crisis led to increased unemployment and pay cuts in most sectors, which meant that potential home buyers had less money to spend. The median income of home buyers in the U.S. fluctuated alongside the home sales and starts over the past decade.

  19. House Construction Downturn: More Than Just a Problem for Builders

    • ibisworld.com
    Updated Jul 19, 2022
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    IBISWorld (2022). House Construction Downturn: More Than Just a Problem for Builders [Dataset]. https://www.ibisworld.com/blog/house-construction-downturn/61/1131/
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    Dataset updated
    Jul 19, 2022
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Jul 19, 2022
    Description

    As supply and demand issues continue wreaking havoc on housing construction in Australia, many other upstream and downstream industries will likely also feel the pain.

  20. o

    Data and Code for: Ten Years of Evidence: Was Fraud a Force in the Financial...

    • openicpsr.org
    delimited
    Updated Aug 8, 2020
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    John Griffin (2020). Data and Code for: Ten Years of Evidence: Was Fraud a Force in the Financial Crisis? [Dataset]. http://doi.org/10.3886/E120565V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 8, 2020
    Dataset provided by
    American Economic Association
    Authors
    John Griffin
    License

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

    Description

    Paper for the JEL that describes literature surrounding fraud and the Financial Crisis.

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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/
Organization logo

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

Explore at:
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.

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