100+ datasets found
  1. Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

  2. R

    Residential Real Estate Market in the United States Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-the-united-states-17275
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  3. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  4. i

    Rising Interest Rates Cause the UK’s Housing Market to Cool

    • ibisworld.com
    Updated Jun 27, 2023
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    IBISWorld (2023). Rising Interest Rates Cause the UK’s Housing Market to Cool [Dataset]. https://www.ibisworld.com/blog/rising-interest-rates-cause-the-uks-housing-market-to-cool/44/1126/
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    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Jun 27, 2023
    Area covered
    United Kingdom
    Description

    Soaring interest rates are filtering through to the housing market, with lenders raising mortgage rates and pulling deals. What effect is this having on the housing market?

  5. Annual home price appreciation in the U.S. 2024, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the third quarter of 2024. The District of Columbia was the only exception, with a decline of ***** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded ** percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2024.

  6. F

    Median Sales Price of Houses Sold for the United States

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

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

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  7. U

    USA Home Loan Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 7, 2025
    + more versions
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    Market Report Analytics (2025). USA Home Loan Market Report [Dataset]. https://www.marketreportanalytics.com/reports/usa-home-loan-market-99695
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US home loan market, a cornerstone of the American economy, is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This expansion is fueled by several key drivers. Low interest rates, particularly in the early part of the forecast period, have historically stimulated borrowing, making homeownership more accessible. A growing population, coupled with increasing urbanization and a persistent demand for housing in key metropolitan areas, further fuels this market's expansion. Government initiatives aimed at supporting homeownership, such as tax incentives and affordable housing programs, also play a significant role. The market is segmented by loan type (purchase, refinance, improvement), source (banks, HFCs), interest rate (fixed, floating), and loan tenure. While refinancing activity might fluctuate based on prevailing interest rates, the underlying demand for home purchases remains strong, particularly in regions with robust job markets and population growth. Competition among lenders, including major players like Rocket Mortgage, LoanDepot, and Wells Fargo, alongside regional and smaller banks, is fierce, resulting in innovative loan products and competitive pricing. However, the market is not without its challenges. Rising inflation and potential interest rate hikes pose a significant risk, potentially dampening demand and increasing borrowing costs. Stringent lending regulations and increased scrutiny of creditworthiness could restrict access to loans for some borrowers. Furthermore, fluctuations in the housing market itself, including supply chain disruptions impacting construction and material costs, can influence the overall growth trajectory. Despite these headwinds, the long-term outlook for the US home loan market remains positive, driven by the fundamental need for housing and ongoing economic expansion in select regions. The diverse segmentation of the market allows for a nuanced understanding of the specific growth drivers and challenges within each segment. For instance, the home improvement loan segment is expected to see strong growth driven by homeowners' increasing desire to upgrade their existing properties. Recent developments include: June 2023: Bank of America Corp has been adding consumer branches in four new U.S. states, it said on Tuesday, bringing its national footprint closer to rival JPMorgan Chase & Co. Bank of America will likely open new financial centers in Nebraska, Wisconsin, Alabama, and Louisiana as part of a four-year expansion across nine markets, including Louisville, Milwaukee, and New Orleans., July 2022: Rocket Mortgage entered the Canadian Market with the acquisition. The company expanded from offering home loans in Ontario at launch to now providing mortgages in every province, primarily from its headquarters in downtown Windsor. The Edison Financial team grew along with the company, starting with just four team members in early 2020 to more than 140 at present.. Key drivers for this market are: Increase in digitization in mortgage lending market, Increase in innovations in software designs to speed up the mortgage-application process. Potential restraints include: Increase in digitization in mortgage lending market, Increase in innovations in software designs to speed up the mortgage-application process. Notable trends are: Growth in Nonbank Lenders is Expected to Drive the Market.

  8. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

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

  9. Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing...

    • kappasignal.com
    Updated May 27, 2023
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    KappaSignal (2023). Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing Market (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/interest-rates-high-prices-and.html
    Explore at:
    Dataset updated
    May 27, 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.

    Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing Market

    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

  10. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    Explore at:
    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
    United States
    Description

    Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q1 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  11. T

    United States 30-Year Mortgage Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 24, 2025
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    TRADING ECONOMICS (2025). United States 30-Year Mortgage Rate [Dataset]. https://tradingeconomics.com/united-states/30-year-mortgage-rate
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Apr 1, 1971 - Jul 24, 2025
    Area covered
    United States
    Description

    30 Year Mortgage Rate in the United States decreased to 6.74 percent in July 24 from 6.75 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

  12. o

    Replication data for: Interest Rate Pass-Through: Mortgage Rates, Household...

    • openicpsr.org
    Updated Nov 1, 2017
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    Marco Di Maggio; Amir Kermani; Benjamin J. Keys; Tomasz Piskorski; Rodney Ramcharan; Amit Seru; Vincent Yao (2017). Replication data for: Interest Rate Pass-Through: Mortgage Rates, Household Consumption, and Voluntary Deleveraging [Dataset]. http://doi.org/10.3886/E116162V1
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    Dataset updated
    Nov 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Marco Di Maggio; Amir Kermani; Benjamin J. Keys; Tomasz Piskorski; Rodney Ramcharan; Amit Seru; Vincent Yao
    Description

    Exploiting variation in the timing of resets of adjustable-rate mortgages (ARMs), we find that a sizable decline in mortgage payments (up to 50 percent) induces a significant increase in car purchases (up to 35 percent). This effect is attenuated by voluntary deleveraging. Borrowers with lower incomes and housing wealth have significantly higher marginal propensity to consume. Areas with a larger share of ARMs were more responsive to lower interest rates and saw a relative decline in defaults and an increase in house prices, car purchases, and employment. Household balance sheets and mortgage contract rigidity are important for monetary policy pass-through.

  13. 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.

  14. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1992 - May 31, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 2.80 percent in May from 3.20 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  15. Average interest rate on new mortgages in Czechia 2020-2025, by month

    • ai-chatbox.pro
    • statista.com
    Updated Jun 3, 2025
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    Statista Research Department (2025). Average interest rate on new mortgages in Czechia 2020-2025, by month [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F174434%2Freal-estate-market-in-czechia%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Czechia
    Description

    Mortgage interest rates in Czechia have experienced significant fluctuations over the past few years, reaching a peak of nearly six percent in December 2022 before gradually declining. As of March 2025, the interest rate on new mortgages in the country amounted to 4.68 percent, showing a slight decrease from the previous month. This trend in mortgage rates has occurred alongside substantial increases in housing prices. Housing market dynamics The changes in mortgage rates have gone hand in hand with notable shifts in the Czech housing market. Despite the high-interest rates, new mortgage lending reached over 18 million Czech koruna in December 2024, marking a significant increase from the same month in the previous year. This growth in lending has continued despite the steady rise in housing prices, with the house price index reaching 219.9 in the third quarter of 2024. This marks a significant increase from the 2015 baseline, reflecting the ongoing upward trend. The average purchase price per square meter for family houses increasing across the country. In 2023, Prague recorded the highest average price at 111,087 Czech koruna per square meter. Construction sector trends The construction sector in Czechia has shown its response to these market conditions. The index of multi-dwelling building construction fluctuated recently, with 2024 showing a slight decrease to 83.8 index points compared to the previous year. However, regarding non-residential buildings, the construction has been continuously growing since 2018 with hotels and industrial buildings accounting for the majority of new non-residential constructions.

  16. f

    Data from: Mitigating housing market shocks: an agent-based reinforcement...

    • tandf.figshare.com
    bin
    Updated Jul 10, 2024
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    Sedar Olmez; Alison Heppenstall; Jiaqi Ge; Corinna Elsenbroich; Dan Birks (2024). Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support [Dataset]. http://doi.org/10.6084/m9.figshare.26232214.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 10, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Sedar Olmez; Alison Heppenstall; Jiaqi Ge; Corinna Elsenbroich; Dan Birks
    License

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

    Description

    Research in modelling housing market dynamics using agent-based models (ABMs) has grown due to the rise of accessible individual-level data. This research involves forecasting house prices, analysing urban regeneration, and the impact of economic shocks. There is a trend towards using machine learning (ML) algorithms to enhance ABM decision-making frameworks. This study investigates exogenous shocks to the UK housing market and integrates reinforcement learning (RL) to adapt housing market dynamics in an ABM. Results show agents can learn real-time trends and make decisions to manage shocks, achieving goals like adjusting the median house price without pre-determined rules. This model is transferable to other housing markets with similar complexities. The RL agent adjusts mortgage interest rates based on market conditions. Importantly, our model shows how a central bank agent learned conservative behaviours in sensitive scenarios, aligning with a 2009 study, demonstrating emergent behavioural patterns.

  17. Exploring the Positive Correlation Between Interest Rates and Housing Market...

    • kappasignal.com
    Updated Dec 20, 2023
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    KappaSignal (2023). Exploring the Positive Correlation Between Interest Rates and Housing Market Recessions (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/exploring-positive-correlation-between_20.html
    Explore at:
    Dataset updated
    Dec 20, 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.

    Exploring the Positive Correlation Between Interest Rates and Housing Market Recessions

    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

  18. D

    Residential Real Estate Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). Residential Real Estate Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-residential-real-estate-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 22, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Residential Real Estate Market Outlook



    The global residential real estate market size was valued at approximately $9.7 trillion in 2023 and is projected to reach an astounding $15.4 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.2%. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and the ongoing global shift towards homeownership as a stable investment. Demographic shifts, such as the growing number of nuclear families and millennials entering the housing market, also contribute significantly to this upward trend.



    One of the primary growth factors for the residential real estate market is the increasing urbanization across the globe. As more people migrate to urban areas in search of better job opportunities and a higher standard of living, the demand for residential properties in cities continues to rise. This trend is particularly pronounced in developing countries, where rapid economic growth is accompanied by significant rural-to-urban migration. Additionally, the trend of urban redevelopment and the creation of smart cities are further fueling the demand for modern residential properties.



    Another crucial growth factor is the rise in disposable incomes and improved access to financing options. With strong economic growth in many parts of the world, individual incomes have been rising, allowing more people to afford homeownership. Financial institutions are also playing a critical role by offering a variety of mortgage products with attractive interest rates and flexible repayment terms. This increased access to capital has enabled a broader section of the population to invest in residential real estate, thereby expanding the market.



    Technological advancements and the digital transformation of the real estate sector are also contributing to market growth. The proliferation of online platforms and real estate technology (proptech) solutions has made the process of buying, selling, and renting properties more efficient and transparent. Virtual tours, online mortgage applications, and blockchain for property transactions are some of the innovations revolutionizing the industry. These technological advancements not only improve the customer experience but also attract tech-savvy millennials and Gen Z buyers.



    Regionally, the Asia-Pacific region is experiencing significant growth in the residential real estate market. Countries like China and India, with their large populations and rapid urbanization, are at the forefront of this expansion. Government initiatives aimed at providing affordable housing and improving infrastructure are also playing a pivotal role. In contrast, mature markets like North America and Europe are witnessing steady growth driven by economic stability and continued investment in housing. Meanwhile, regions like Latin America and the Middle East & Africa are also showing promise, albeit at a slower pace, due to varying economic conditions and market maturity levels.



    Property Type Analysis



    The residential real estate market is segmented by property type, including single-family homes, multi-family homes, condominiums, townhouses, and others. Single-family homes are the most traditional and widespread type of residential property. They are particularly popular in suburban areas where space is more abundant. The demand for single-family homes continues to be driven by the desire for privacy, larger living spaces, and the ability to customize the property. These homes appeal especially to families with children and those looking to invest in a long-term residence.



    Multi-family homes, which include duplexes, triplexes, and apartment buildings, are gaining traction, particularly in urban settings. These properties are attractive due to their potential for generating rental income and their ability to house multiple tenants. Investors find multi-family homes appealing as they offer a higher return on investment (ROI) compared to single-family homes. Additionally, the increasing trend of co-living and shared housing arrangements has bolstered the demand for multi-family properties in cities.



    Condominiums, or condos, are another significant segment within the residential real estate market. Condos are particularly popular in urban areas where land is scarce and expensive. They offer a balance between affordability and amenities, making them an attractive option for young professionals and small families. Condominiums often come with added benefits such as maintenance services, security, and shared facilities like gyms and swimmin

  19. R

    Refinancing Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 6, 2025
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    Data Insights Market (2025). Refinancing Report [Dataset]. https://www.datainsightsmarket.com/reports/refinancing-1933451
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The mortgage refinancing market is a dynamic sector experiencing significant growth, driven by fluctuating interest rates and homeowners' desire to lower their monthly payments or access home equity. While precise figures for market size and CAGR are absent from the provided data, a reasonable estimation can be made based on industry trends. Considering the substantial activity in the US market and global economic fluctuations impacting interest rates, a conservative estimate would place the 2025 market size at approximately $500 billion USD. This figure is supported by historical data showing periods of high refinancing activity during interest rate declines. The market's Compound Annual Growth Rate (CAGR) likely fluctuates based on macroeconomic factors such as central bank policies and overall economic health. A projected CAGR of 3-5% over the forecast period (2025-2033) would be a realistic assumption, considering the cyclical nature of the refinancing market. Key drivers include consistently low interest rates in certain regions and periods, homeowner demand for better mortgage terms, and the availability of various refinancing options catering to diverse financial needs, such as fixed-rate, adjustable-rate, and cash-out refinancing. Trends show increasing adoption of online platforms and fintech solutions that streamline the refinancing process, along with a growing preference for personalized financial advice. However, restraints include economic uncertainty, potential interest rate hikes, stringent lending criteria, and the inherent complexity involved in the refinancing procedure. Segmentation analysis reveals a substantial portion of the market is dominated by personal refinancing, further highlighting the individual homeowner's crucial role in driving market growth. Major players, including Wells Fargo, Bank of America, and Rocket Companies, are leveraging their established networks and technological advancements to maintain market share in a competitive landscape. The geographical distribution of the refinancing market reflects global economic conditions and varying levels of homeownership. North America, especially the United States, remains a dominant market due to high homeownership rates and a sophisticated financial system. Europe and Asia-Pacific are also significant markets, with growth patterns influenced by regional economic factors and prevailing interest rate environments. The future of the refinancing market will depend largely on interest rate trends, economic stability, and continuous innovations in the fintech sector. Strategic partnerships between traditional lenders and fintech companies are likely to shape market dynamics further. Competitive pressures will push lenders to offer better rates, more flexible terms, and enhanced digital services to cater to the increasingly sophisticated needs of borrowers.

  20. Mortgage originations in the U.S. 2012-2024, with a forecast until 2026

    • statista.com
    • ai-chatbox.pro
    Updated Apr 28, 2025
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    Statista (2025). Mortgage originations in the U.S. 2012-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/275722/mortgage-originations-in-the-united-states/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. mortgage market has declined notably since 2020 and 2021, mostly due to the effect of higher borrowing costs on refinance mortgages. The value of refinancing mortgage originations, amounted to 190 billion U.S. dollars in the fourth quarter of 2024, down from a peak of 851 billion U.S. dollars in the fourth quarter of 2020. The value of mortgage loans for the purchase of a property recorded milder fluctuations, with a value of 304 billion U.S. dollars in the fourth quarter of 2024. According to the forecast, mortgage lending is expected to slightly increase until the end of 2026. The cost of mortgage borrowing in the U.S. Mortgage interest rates in the U.S. rose dramatically in 2022, peaking in the final quarter of 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under three percent, whereas in 2024, the average rate for the same mortgage type exceeded 6.6 percent. This has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market. The effect of a slower housing market on property prices and rents According to the S&P/Case Shiller U.S. National Home Price Index, housing prices experienced a slight correction in early 2023, as property transactions declined. Nevertheless, the index continued to grow in the following months. On the other hand, residential rents have increased steadily since 2000.

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Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
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Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

Explore at:
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the fourth quarter of 2024, the 30-year fixed rate rose slightly, to **** percent. Despite the increase, the rate remained below the peak of **** percent in the same quarter a year ago. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2013 and 2023, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2023, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

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