31 datasets found
  1. 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.

  2. Understanding the Dynamics and Implications of a Housing Market Recession...

    • kappasignal.com
    Updated May 25, 2023
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    KappaSignal (2023). Understanding the Dynamics and Implications of a Housing Market Recession (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/understanding-dynamics-and-implications.html
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Understanding the Dynamics and Implications of a Housing Market Recession

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

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

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). 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
    Jul 18, 2025
    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.

  4. US Residential Construction Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    Updated Jan 15, 2025
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    Technavio (2025). US Residential Construction Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/residential-construction-market-industry-analysis
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States
    Description

    Snapshot img

    US Residential Construction Market Size 2025-2029

    The US residential construction market size is forecast to increase by USD 242.9 million at a CAGR of 4.5% between 2024 and 2029.

    The Residential Construction Market in the US is experiencing significant growth driven by increasing household formation rates and a rising focus on sustainability in new projects. According to the latest data, household formation is projected to continue growing at a steady pace, fueling the demand for new residential units. This trend is particularly evident in urban areas, where population growth and limited space for new development are driving up demand. Meanwhile, the emphasis on sustainability in residential construction is transforming the market landscape. With consumers increasingly prioritizing energy efficiency and eco-friendly features in their homes, builders and developers are responding by incorporating green technologies and sustainable materials into their projects.
    This shift not only appeals to environmentally-conscious consumers but also offers long-term cost savings and regulatory compliance benefits. However, the market is not without challenges. Skilled labor shortages continue to pose a significant hurdle for large-scale residential real estate projects. The ongoing shortage of skilled laborers, including carpenters, electricians, and plumbers, is driving up labor costs and delaying project timelines. To mitigate this challenge, some builders are exploring alternative solutions, such as modular construction and automation, to streamline their operations and reduce their reliance on traditional labor sources. The Residential Construction Market in the US presents significant opportunities for companies seeking to capitalize on the growing demand for new housing units and the shift towards sustainability.
    However, navigating the challenges of labor shortages and rising costs will require innovative solutions and strategic planning. By staying informed of market trends and adapting to evolving consumer preferences, companies can effectively position themselves for success in this dynamic market.
    

    What will be the size of the US Residential Construction Market during the forecast period?

    Request Free Sample

    The residential construction market in the United States continues to exhibit dynamic activity, driven by various economic factors. Housing supply remains a key focus, with ongoing discussions surrounding the affordable housing trend and efforts to increase inventory, particularly for single-family homes and new constructions. Mortgage and federal funds rates have an impact on residential investment, with fluctuations influencing buyer decisions and construction costs. The labor market plays a crucial role, as workforce availability and wages affect both housing starts and cancellation rates. Inflation and interest rates, monitored closely by the Federal Reserve, also shape the market's direction. Recession risks and economic conditions influence construction spending across various sectors, including multifamily and single-family homes.
    Federal programs, such as housing choice vouchers and fair housing initiatives, continue to support home buyers and promote equitable housing opportunities. Building permits and housing starts serve as essential indicators of market health and future growth, with some sectors experiencing double-digit growth. Overall, the residential construction market in the US remains a significant economic driver, shaped by a complex interplay of economic, demographic, and policy factors.
    

    How is this market segmented?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Product
    
      Apartments and condominiums
      Luxury Homes
      Other types
    
    
    Type
    
      New construction
      Renovation
    
    
    Application
    
      Single family
      Multi-family
    
    
    Construction Material
    
      Wood-framed
      Concrete
      Steel
      Modular/Prefabricated
    
    
    Geography
    
      US
    

    By Product Insights

    The apartments and condominiums segment is estimated to witness significant growth during the forecast period.

    The residential construction market in the US is experiencing growth in both the apartment and condominium sectors, driven by the increasing trend toward urbanization and changing lifestyle preferences. Apartments, typically owned by property management companies, and condominiums, with individually owned units within a larger complex, contribute significantly to the market. The Federal Reserve's influence on the economy through the federal funds rate and mortgage rates impacts borrowing rates and home construction activity. The affordability of housing, particularly for younger generations, is a concern due to factors such as inflation, labor market conditions, and savings

  5. J

    Monetary Policy and the Housing Market: A Structural Factor Analysis...

    • journaldata.zbw.eu
    .mat, pdf, txt, zip
    Updated Dec 7, 2022
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    Matteo Luciani; Matteo Luciani (2022). Monetary Policy and the Housing Market: A Structural Factor Analysis (replication data) [Dataset]. http://doi.org/10.15456/jae.2022321.0719699439
    Explore at:
    .mat(766), txt(136836), txt(902), txt(2174), txt(935), txt(3699), .mat(119824), pdf(121935), zip(42392)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Matteo Luciani; Matteo Luciani
    License

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

    Description

    This paper studies the role of the Federal Reserve's policy in the recent boom and bust of the housing market, and in the ensuing recession. By estimating a structural dynamic factor model on a panel of 109 US quarterly variables from 1982 to 2010, we find that, although the Federal Reserve's policy between 2002 and 2004 was slightly expansionary, its contribution to the recent housing cycle was negligible. We also show that a more restrictive policy would have smoothed the cycle but not prevented the recession. We thus find no role for the Federal Reserve in causing the recession.

  6. U.S. housing: Case Shiller National Home Price Index 2000-2024

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). U.S. housing: Case Shiller National Home Price Index 2000-2024 [Dataset]. https://www.statista.com/statistics/199360/case-shiller-national-home-price-index-for-the-us-since-2000/
    Explore at:
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

  7. k

    Looming Shadows: A Deep Dive into the Housing Market Recession (Forecast)

    • kappasignal.com
    Updated Dec 19, 2023
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    KappaSignal (2023). Looming Shadows: A Deep Dive into the Housing Market Recession (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/looming-shadows-deep-dive-into-housing.html
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Looming Shadows: A Deep Dive into the Housing Market Recession

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  8. Homeownership rate in the U.S. 1990-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Homeownership rate in the U.S. 1990-2024 [Dataset]. https://www.statista.com/statistics/184902/homeownership-rate-in-the-us-since-2003/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The homeownership rate in the United States declined slightly in 2023 and remained stable in 2024. The U.S. homeownership rate was the highest in 2004 before the 2007-2009 recession hit and decimated the housing market. In 2024, the proportion of households occupied by owners stood at **** percent in 2024, *** percentage points below 2004 levels. Homeownership since the recession The rate of homeownership in the U.S. fell in the lead up to the recession and continued to do so until 2016. Despite this trend, the share of Americans who perceived homeownership as part of their personal American dream remained relatively stable. This suggests that the financial hardship caused by the recession led to the fall in homeownership, rather than a change in opinion about the importance of homeownership itself. What the future holds for homeownership Homeownership trends vary from generation to generation. Homeownership among Americans over 65 years old is declining, whereas most Millennial renters plan to buy a home in the near future. This suggests that homeownership will remain important in the future, as Millennials are forecast to head most households over the next two decades.

  9. Great Recession: delinquency rate by loan type in the U.S. 2007-2010

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: delinquency rate by loan type in the U.S. 2007-2010 [Dataset]. https://www.statista.com/statistics/1342448/global-financial-crisis-us-economic-indicators/
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2012
    Area covered
    United States
    Description

    The Global Financial Crisis of 2008-09 was a period of severe macroeconomic instability for the United States and the global economy more generally. The crisis was precipitated by the collapse of a number of financial institutions who were deeply involved in the U.S. mortgage market and associated credit markets. Beginning in the Summer of 2007, a number of banks began to report issues with increasing mortgage delinquencies and the problem of not being able to accurately price derivatives contracts which were based on bundles of these U.S. residential mortgages. By the end of 2008, U.S. financial institutions had begun to fail due to their exposure to the housing market, leading to one of the deepest recessions in the history of the United States and to extensive government bailouts of the financial sector.

    Subprime and the collapse of the U.S. mortgage market

    The early 2000s had seen explosive growth in the U.S. mortgage market, as credit became cheaper due to the Federal Reserve's decision to lower interest rates in the aftermath of the 2001 'Dot Com' Crash, as well as because of the increasing globalization of financial flows which directed funds into U.S. financial markets. Lower mortgage rates gave incentive to financial institutions to begin lending to riskier borrowers, using so-called 'subprime' loans. These were loans to borrowers with poor credit scores, who would not have met the requirements for a conventional mortgage loan. In order to hedge against the risk of these riskier loans, financial institutions began to use complex financial instruments known as derivatives, which bundled mortgage loans together and allowed the risk of default to be sold on to willing investors. This practice was supposed to remove the risk from these loans, by effectively allowing credit institutions to buy insurance against delinquencies. Due to the fraudulent practices of credit ratings agencies, however, the price of these contacts did not reflect the real risk of the loans involved. As the reality of the inability of the borrowers to repay began to kick in during 2007, the financial markets which traded these derivatives came under increasing stress and eventually led to a 'sudden stop' in trading and credit intermediation during 2008.

    Market Panic and The Great Recession

    As borrowers failed to make repayments, this had a knock-on effect among financial institutions who were highly leveraged with financial instruments based on the mortgage market. Lehman Brothers, one of the world's largest investment banks, failed on September 15th 2008, causing widespread panic in financial markets. Due to the fear of an unprecedented collapse in the financial sector which would have untold consequences for the wider economy, the U.S. government and central bank, The Fed, intervened the following day to bailout the United States' largest insurance company, AIG, and to backstop financial markets. The crisis prompted a deep recession, known colloquially as The Great Recession, drawing parallels between this period and The Great Depression. The collapse of credit intermediation in the economy lead to further issues in the real economy, as business were increasingly unable to pay back loans and were forced to lay off staff, driving unemployment to a high of almost 10 percent in 2010. While there has been criticism of the U.S. government's actions to bailout the financial institutions involved, the actions of the government and the Fed are seen by many as having prevented the crisis from spiraling into a depression of the magnitude of The Great Depression.

  10. c

    The Global Shower Doors market size was USD 13.5 billion in 2023!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 14, 2023
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    Cognitive Market Research (2023). The Global Shower Doors market size was USD 13.5 billion in 2023! [Dataset]. https://www.cognitivemarketresearch.com/shower-doors-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, The Global Shower Doors market size is USD 13.5 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 8% from 2023 to 2030.

    Evolving consumer preferences for stylish and high-quality shower doors, driven by design trends and innovative technology, impact the market. Manufacturers that offer customizable and innovative options thrive, while those who need to adapt may face reduced demand and market stagnation.
    The shower doors market's performance is closely tied to the housing market, thriving during economic upswings and housing booms when homeowners seek upgraded bathrooms but facing decreased demand during economic downturns when renovation projects are postponed due to financial constraints.
    The Hospitality and others segment is the fastest-growing, driven by the flourishing hospitality sector, including hotels and resorts, which demand stylish and durable shower doors to enhance guest experiences, with additional growth in healthcare and education facilities under the "Others" category.
    North America will continue to lead, whereas the Asia Pacific Shower Doors market will experience the strongest growth until 2030.
    

    Rising Housing Market Trends will Drive Demand for Shower Doors

    The housing market's performance is a pivotal driver of the shower doors market. When the housing market is booming, with increasing home construction and renovation activities, the demand for shower doors surges. This heightened demand for housing often results from population growth, economic prosperity, or changing demographics, and consequently, homeowners seek upgraded bathrooms, including stylish and functional shower doors. Conversely, during economic downturns or housing market slumps, the demand for shower doors can decrease as consumers postpone or scale back renovation projects due to financial constraints.

    Impact of Design Trends will Boost Shower Doors Market
    

    Evolving design trends and consumer preferences significantly impact the shower doors market. As consumers become more design-conscious and seek luxurious bathroom aesthetics, the demand for aesthetically pleasing and innovative shower door designs increases. Factors such as improved technology, the desire for spacious, open-concept bathrooms, and the use of high-quality materials drive this trend. Manufacturers that respond by offering customizable, frameless, or semi-frameless options meet this demand, increasing market share. Conversely, a lack of innovation or failure to adapt to changing aesthetics can cause market stagnation or reduced demand.

    Expansion of Real Estate and Renovation Activities
    

    Market Dynamics of the Shower Doors

    Stringent Regulations Raise Costs, which will Limit Market Growth
    

    The shower doors market faces a significant restraint due to stringent regulatory compliance and safety standards. This cause-effect relationship stems from government regulations that mandate safety measures in construction and home improvement. As a result, manufacturers and suppliers must invest in expensive materials and technology to ensure their products meet these standards. This, in turn, leads to higher production costs, making shower doors more expensive for consumers. Additionally, the time and resources required to navigate and adhere to these regulations can slow down innovation and product development, hampering the industry's growth potential.

    Impact of COVID–19 on the Shower Doors Market

    The market experienced significant repercussions due to the COVID-19 pandemic, leading to a notable decrease in demand in both residential and non-residential sectors. This health crisis had adverse effects on new construction projects and the aftermarket industry. After the restrictions were lifted, the primary challenges faced by the sector revolved around the availability of labor and the surging costs of essential building materials. Following the pandemic's conclusion, the prices of raw materials experienced a sharp increase, which, in turn, had a substantial impact on the overall demand for doors, further exacerbating the sector's difficulties. Introduction of The Shower Doors Market

    The performance of the housing market significantly influences the shower doors industry, with surging demand during housing market upswings driven by factors like population growth and economic prosperity, leading ...

  11. Global Financial Crisis: Fannie Mae stock price and percentage change...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Global Financial Crisis: Fannie Mae stock price and percentage change 2000-2010 [Dataset]. https://www.statista.com/statistics/1349749/global-financial-crisis-fannie-mae-stock-price/
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Federal National Mortgage Association, commonly known as Fannie Mae, was created by the U.S. congress in 1938, in order to maintain liquidity and stability in the domestic mortgage market. The company is a government-sponsored enterprise (GSE), meaning that while it was a publicly traded company for most of its history, it was still supported by the federal government. While there is no legally binding guarantee of shares in GSEs or their securities, it is generally acknowledged that the U.S. government is highly unlikely to let these enterprises fail. Due to these implicit guarantees, GSEs are able to access financing at a reduced cost of interest. Fannie Mae's main activity is the purchasing of mortgage loans from their originators (banks, mortgage brokers etc.) and packaging them into mortgage-backed securities (MBS) in order to ease the access of U.S. homebuyers to housing credit. The early 2000s U.S. mortgage finance boom During the early 2000s, Fannie Mae was swept up in the U.S. housing boom which eventually led to the financial crisis of 2007-2008. The association's stated goal of increasing access of lower income families to housing finance coalesced with the interests of private mortgage lenders and Wall Street investment banks, who had become heavily reliant on the housing market to drive profits. Private lenders had begun to offer riskier mortgage loans in the early 2000s due to low interest rates in the wake of the "Dot Com" crash and their need to maintain profits through increasing the volume of loans on their books. The securitized products created by these private lenders did not maintain the standards which had traditionally been upheld by GSEs. Due to their market share being eaten into by private firms, however, the GSEs involved in the mortgage markets began to also lower their standards, resulting in a 'race to the bottom'. The fall of Fannie Mae The lowering of lending standards was a key factor in creating the housing bubble, as mortgages were now being offered to borrowers with little or no ability to repay the loans. Combined with fraudulent practices from credit ratings agencies, who rated the junk securities created from these mortgage loans as being of the highest standard, this led directly to the financial panic that erupted on Wall Street beginning in 2007. As the U.S. economy slowed down in 2006, mortgage delinquency rates began to spike. Fannie Mae's losses in the mortgage security market in 2006 and 2007, along with the losses of the related GSE 'Freddie Mac', had caused its share value to plummet, stoking fears that it may collapse. On September 7th 2008, Fannie Mae was taken into government conservatorship along with Freddie Mac, with their stocks being delisted from stock exchanges in 2010. This act was seen as an unprecedented direct intervention into the economy by the U.S. government, and a symbol of how far the U.S. housing market had fallen.

  12. Number of owner-occupied homes in the U.S. 1975-2023

    • statista.com
    Updated Apr 12, 2024
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    Statista (2024). Number of owner-occupied homes in the U.S. 1975-2023 [Dataset]. https://www.statista.com/statistics/187576/housing-units-occupied-by-owner-in-the-us-since-1975/
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    Dataset updated
    Apr 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following a period of stagnation over most of the 2010s, the number of owner occupied housing units in the United States started to grow in 2017. In 2023, there were over 86 million owner-occupied homes. Owner-occupied housing is where the person who owns a property – either outright or through a mortgage – also resides in the property. Excluded are therefore rental properties, employer-provided housing and social housing. Homeownership sentiment in the U.S. Though homeownership is still a cornerstone of the American dream, an increasing share of people see themselves as lifelong renters. Millennials have been notoriously late to enter the housing market, with one in four reporting that they would probably continue to always rent in the future, a 2022 survey found. In 2017, just five years before that, this share stood at about 13 percent. How many renter households are there? Renter households are roughly half as few as owner-occupied households in the U.S. In 2023, the number of renter occupied housing units amounted to almost 45 million. Climbing on the property ladder for renters is not always easy, as it requires prospective homebuyers to save up for a down payment and qualify for a mortgage. In many metros, the median household income is insufficient to qualify for the median-priced home.

  13. Average price per square foot in new single-family homes U.S. 2000-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2023 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  14. p

    Atlantic City, NJ Real Estate Investment Insights

    • propertygenie.us
    Updated Jul 12, 2025
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    PropertyGenie (2025). Atlantic City, NJ Real Estate Investment Insights [Dataset]. https://www.propertygenie.us/market-insight/atlantic-city-nj
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    PropertyGenie
    License

    https://www.propertygenie.us/terms-conditionshttps://www.propertygenie.us/terms-conditions

    Time period covered
    May 31, 2025
    Area covered
    Variables measured
    Population, Rental Count, Job Growth (%), LTR Genie Score, STR Genie Score, Income Growth (%), Rental Demand Score, LTR Monthly Cash Flow, Population Growth (%), STR Monthly Cash Flow, and 6 more
    Description

    The LTR Genie Score of Atlantic City, NJ is 69 and STR Genie Score is 65, indicating a moderate level of attractiveness for both long-term and short-term rental investments. The LTR Rentability is very low, which may be due to factors such as high vacancy rates or low demand for long-term rentals in the area. The LTR Rent Growth Rate is 0.0%, suggesting stagnant rental market conditions. On the other hand, the STR Net ROI is higher than LTR Net ROI, indicating that short-term rentals may be more profitable in Atlantic City. The 1-Year Price Appreciation Forecast is positive at 4.1%, which could be a good sign for property appreciation in the area.Atlantic City, NJ is a popular tourist destination known for its casinos, boardwalk, and beachfront attractions. Real estate investors should consider the seasonal nature of the market when evaluating investment opportunities, as tourism may impact rental demand and occupancy rates. Additionally, factors such as local regulations on short-term rentals and competition from hotels should be taken into account when making investment decisions in Atlantic City.In conclusion, while both long-term and short-term rental investments have their pros and cons in Atlantic City, the higher STR Net ROI and positive price appreciation forecast suggest that short-term rentals may be more lucrative in this market. Investors should conduct thorough research and consider market conditions before deciding on the best investment strategy for their portfolio.

  15. House price to income ratio index in the U.S. 2012-2024, by quarter

    • statista.com
    Updated May 7, 2025
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    Statista (2025). House price to income ratio index in the U.S. 2012-2024, by quarter [Dataset]. https://www.statista.com/statistics/591435/house-price-to-income-ratio-usa/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The house price to income ratio in the United States has reached concerning levels, with the index hitting ***** in the fourth quarter of 2024. This indicates that house prices have outpaced income growth by over ** percent since 2015, highlighting a growing affordability crisis in the housing market. The widening gap between home prices and wages is putting homeownership out of reach for many Americans, particularly as real wages have remained stagnant. Rising home prices and stagnant wages While average annual real wages in the United States have increased slightly since 2014, home prices have soared. The median sales price of existing single-family homes reached a record-high in 2024, representing a substantial increase over the past five years. This disparity between wage growth and home price appreciation has led to a significant decrease in housing affordability across the country. Affordability challenges in the U.S. housing market The U.S. Housing Affordability Index, which measures whether a family earning the median income can afford a median-priced home, plummeted in 2024, marking the second-worst year for homebuyers since records began. This decline in affordability is reflected in homebuyer sentiment, with homebuyer sentiment plummeting.

  16. Mortgage Brokers in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Mortgage Brokers in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/mortgage-brokers-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Mortgage brokers’ revenue is anticipated to climb at a compound annual rate of 4.5% over the five years through 2024-25 to £2.3 billion, including estimated growth of . Rising residential property transactions stimulated by government initiatives and rising house prices have driven industry growth. However, mortgage brokers have faced numerous obstacles, including downward pricing pressures from upstream lenders and a sharp downturn in the housing market as rising mortgage rates ramped up the cost of borrowing. After a standstill in residential real estate activity in the immediate aftermath of the COVID-19 outbreak, ultra-low base rates, the release of pent-up demand, the introduction of tax incentives and buyers reassessing their living situation fuelled a V-shaped recovery in the housing market. This meant new mortgage approvals for house purchases boomed going into 2021-22, ramping up demand for brokerage services. 2022-23 was a year rife with economic headwinds, from rising interest rates to fears of a looming recession. Yet, the housing market stood its ground, with brokers continuing to benefit from rising prices. Elevated mortgage rates eventually hit demand for houses in the first half of 2023, contributing to lacklustre house price growth in 2023-24, hurting revenue, despite a modest recovery in the second half of the year as mortgage rates came down. In 2024-25, lower mortgage rates and an improving economic outlook support house prices, driving revenue growth. Mortgage brokers’ revenue is anticipated to swell at a compound annual rate of 5.3% over the five years through 2029-30 to £2.9 billion. Competition from direct lending will ramp up. Yet, growth opportunities remain. The emergence of niche mortgage products, like those targeting retired individuals and contractors, as well as green mortgages, will support revenue growth in the coming years. AI is also set to transform the industry, improving cost efficiencies by automating tasks like document verification, risk assessment and customer profiling.

  17. p

    Laredo, TX Real Estate Investment Insights

    • propertygenie.us
    Updated Jul 12, 2025
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    PropertyGenie (2025). Laredo, TX Real Estate Investment Insights [Dataset]. https://www.propertygenie.us/market-insight/laredo-tx
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    PropertyGenie
    License

    https://www.propertygenie.us/terms-conditionshttps://www.propertygenie.us/terms-conditions

    Time period covered
    May 31, 2025
    Area covered
    Variables measured
    Population, Rental Count, Job Growth (%), LTR Genie Score, STR Genie Score, Income Growth (%), Rental Demand Score, LTR Monthly Cash Flow, Population Growth (%), STR Monthly Cash Flow, and 6 more
    Description

    The LTR Genie Score of Laredo, TX is 57 and STR Genie Score is 34, indicating a moderate to low rating for both long-term rental and short-term rental investment opportunities in the area. The LTR Rentability is high, suggesting that there is demand for long-term rentals in Laredo. However, the LTR Rent Growth Rate is 0.0%, which may indicate stagnant rental market conditions. The 1-Year Price Appreciation Forecast is negative at -2.56%, which could potentially impact property values in the near future. In comparison, the STR Net ROI is lower than the LTR Net ROI, indicating that long-term rental investments may offer better returns in Laredo. The STR Genie Score is also lower than the LTR Genie Score, further supporting the idea that long-term rental properties may be a more attractive investment option in this market.Laredo, TX is a border town located on the Rio Grande River, known for its vibrant culture and strong ties to Mexico. The city's economy is driven by trade, logistics, and manufacturing industries, which could impact rental demand and property values in the area.Based on the metrics provided, Laredo, TX may be more attractive for long-term rental investment rather than short-term rental investment. Investors should consider the stable rental market conditions and higher potential ROI for long-term rentals in this market. However, it is important to conduct further research and due diligence before making any investment decisions in Laredo, TX.

  18. c

    Title insurance Market Will Grow at a CAGR of 12.00% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Cognitive Market Research (2025). Title insurance Market Will Grow at a CAGR of 12.00% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/title-insurance-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Title Insurance market size is USD 57181.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 12.00% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 22872.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.2% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 17154.36 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 13151.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.0%from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD 2859.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.4% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 1143.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.7% from 2024 to 2031.
    The dominant end user category is the enterprise segment, which includes businesses and organizations that require title insurance for commercial properties and real estate transactions.
    

    Market Dynamics of Title Insurance Market

    Key Drivers for Title Insurance Market

    Increasing Property Transactions to Increase the Demand Globally
    

    One key driver propelling the Title Insurance market is the steady rise in property transactions. As the real estate industry continues to expand globally, fueled by urbanization, population growth, and economic development, the demand for title insurance has surged. Property buyers and lenders increasingly recognize the importance of safeguarding their investments against potential title defects, encumbrances, or legal disputes that may arise in the future. This heightened awareness has led to a greater adoption of title insurance policies, driving market growth. Additionally, regulatory mandates in many jurisdictions require title insurance as a prerequisite for property transactions, further boosting market demand. As property markets remain dynamic and resilient, the increasing volume of real estate transactions is expected to sustain the growth momentum of the Title Insurance market.

    Evolving Regulatory Landscape to Propel Market Growth
    

    Another crucial driver shaping the Title Insurance market is the evolving regulatory landscape governing real estate transactions. Regulatory changes, including updates to property laws, mortgage regulations, and consumer protection measures, have a significant impact on the demand for title insurance. Stricter regulations often necessitate comprehensive due diligence procedures and risk mitigation strategies, prompting property buyers and lenders to seek robust title insurance coverage. Moreover, regulatory reforms aimed at enhancing transparency and reducing fraud in property transactions have contributed to the growing adoption of title insurance as a risk management tool. Market players in the title insurance industry are continually adapting their products and services to align with evolving regulatory requirements, thereby driving market growth. As regulatory frameworks continue to evolve, the demand for title insurance is expected to remain strong, especially in regions undergoing significant legislative changes in the real estate sector.

    Restraint Factor for the Title Insurance Market

    Economic Downturns and Property Market Volatility to Limit the Sales
    

    One key restraints affecting the Title Insurance market is its vulnerability to economic downturns and property market volatility. During periods of economic uncertainty or recession, property transactions tend to decline, leading to a reduction in demand for title insurance. Economic downturns also increase the risk of mortgage defaults and foreclosures, which can result in higher claims payouts for title insurers. Additionally, property market volatility, influenced by factors such as fluctuating interest rates, regulatory changes, and geopolitical events, can impact the stability of the Title Insurance market. Uncertain property valuations and shifting market dynamics can make it challenging for title insurers to accurately assess risks and set premiums, leading to potential revenue losses. As such, the Title Insurance market is sensitive to mac...

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

    • statista.com
    Updated Jun 4, 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
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 1968 - Apr 2025
    Area covered
    United States
    Description

    In April 2025, approximately ******* 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.

  20. F

    All-Transactions House Price Index for Reno, NV (MSA)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Reno, NV (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS39900Q
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    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Reno-Sparks, NV, Reno, Nevada
    Description

    Graph and download economic data for All-Transactions House Price Index for Reno, NV (MSA) (ATNHPIUS39900Q) from Q2 1978 to Q1 2025 about Reno, NV, appraisers, HPI, housing, price index, indexes, price, and USA.

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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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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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