100+ datasets found
  1. U.S. Housing Prices: Regional Trends (2000 - 2023)

    • kaggle.com
    Updated Dec 6, 2024
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    Praveen Chandran (2024). U.S. Housing Prices: Regional Trends (2000 - 2023) [Dataset]. https://www.kaggle.com/datasets/praveenchandran2006/u-s-housing-prices-regional-trends-2000-2023
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    Kaggle
    Authors
    Praveen Chandran
    Area covered
    United States
    Description

    Dataset Overview

    This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

    Why This Dataset?

    The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

    What’s Included?

    Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

    Columns Description

    Each column represents the housing price index for a specific region or aggregate, starting with a date column:

    Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

    Potential Use Cases

    Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

    Who Can Use This Dataset?

    This dataset is perfect for:

    Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

    Example Questions to Explore

    Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

  2. F

    Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price Index, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL075035403A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price Index, Level (BOGZ1FL075035403A) from 1985 to 2024 about multifamily, real estate, family, interest rate, interest, rate, price index, indexes, price, and USA.

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

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Average interest rate on new mortgages in Czechia 2020-2025, by month [Dataset]. https://www.statista.com/statistics/1468435/czechia-average-interest-rate-on-new-mortgages/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Mar 2025
    Area covered
    Czechia
    Description

    Mortgage interest rates in Czechia have experienced significant fluctuations over the past few years, reaching a peak of nearly *** percent in December 2022 before gradually declining. As of March 2025, the interest rate on new mortgages in the country amounted to **** 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 ***** 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 ******* 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 **** 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.

  4. F

    Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price Index, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL075035403Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for Interest Rates and Price Indexes; Multi-Family Real Estate Apartment Price Index, Level (BOGZ1FL075035403Q) from Q4 1985 to Q2 2025 about multifamily, real estate, family, interest rate, interest, rate, price index, indexes, price, and USA.

  5. Annual home price appreciation in the U.S. 2025, by state

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Aug 11, 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 first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, 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 2025.

  6. Housing Mortgage Market in the US 2014-2018

    • technavio.com
    pdf
    Updated Oct 22, 2014
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    Technavio (2014). Housing Mortgage Market in the US 2014-2018 [Dataset]. https://www.technavio.com/report/housing-mortgage-market-in-the-us-2014-2018
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    pdfAvailable download formats
    Dataset updated
    Oct 22, 2014
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Area covered
    United States
    Description

    Snapshot img { margin: 10px !important; } About Housing Mortgage Mortgage is a debt instrument that the borrower is obliged to pay back with a fixed set of payments and is secured by the collateral of a specified real estate property. Mortgages enable individuals and businesses to make large real estate purchases without paying the entire value of the purchase in one go. Borrowers repay the loan along with interest over a period of many years until they eventually own the property free and clear. However, if borrowers stop paying the mortgage, the lender can foreclose and may evict the property’s owner and sell it, using the income from the sale to clear the mortgage debt. In a fixed-rate mortgage system, borrowers pay the same interest rate for the life of the loan. Most fixed-rate mortgages have a 15 or 30-year term. There is no influence on borrowers’ payment if market interest rates rise. However, if market interest rates decline significantly, borrowers may be able to secure that lower rate by means of refinancing the mortgage. TechNavio's analysts forecast the Housing Mortgage market in the US to grow at a CAGR of 1.75 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Housing Mortgage market in the US for the period 2014-2018. To calculate the market size, the report considers the loan volume of primary housing mortgage banks, credit unions, and financial institutions. It takes into consideration the various product segments such as Home Purchase, Home Improvement, and Refinancing. The report mentions the role played by Federal Government by the way of government-sponsored enterprises operating in the system. TechNavio's report, the Housing Mortgage Market in the US 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the US; it also covers the landscape of the Housing Mortgage market in the US and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key Regions • USKey Vendors • Bank of America • Citigroup • JPMorgan Chase • U.S. Bancorp • Wells FargoOther Prominent Vendors • Ally Financial • Capital One Financial • Fifth Third Bancorp • Flagstar Bank, FSB • SunTrust Banks • Quicken Loans • Regions FinancialMarket Driver • Improved Demand for Home Loans • For a full, detailed list, view our reportMarket Challenge • Shrinking Lending Capacity • For a full, detailed list, view our reportMarket Trend • Less Incidence of Foreclosures • For a full, detailed list, view our reportKey Questions Answered in this Report • What will the market size be in 2018 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors?

  7. 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
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

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

    Area covered
    United States
    Description

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

  8. 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.

  9. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
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    json, excel, xml, csvAvailable download formats
    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 - Jun 30, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 2.60 percent in June from 2.90 percent in May of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  10. Quarterly mortgage interest rate in the U.S. 2019-2024, by mortgage type

    • statista.com
    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.

  11. Mortgage Interest Rate Survey Transition Index

    • catalog.data.gov
    Updated Mar 7, 2025
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    Federal Housing Finance Agency (2025). Mortgage Interest Rate Survey Transition Index [Dataset]. https://catalog.data.gov/dataset/mortgage-interest-rate-survey-transition-index
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Description

    In May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.

  12. 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?

  13. 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.

  14. F

    Interest Rates and Price Indexes; Commercial Real Estate Price Index, Level

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
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    (2025). Interest Rates and Price Indexes; Commercial Real Estate Price Index, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL075035503A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Graph and download economic data for Interest Rates and Price Indexes; Commercial Real Estate Price Index, Level (BOGZ1FL075035503A) from 1945 to 2024 about real estate, commercial, interest rate, interest, rate, price index, indexes, price, and USA.

  15. Average monthly interest rate of house loans Indonesia 2021-2025

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average monthly interest rate of house loans Indonesia 2021-2025 [Dataset]. https://www.statista.com/statistics/1209591/indonesia-average-monthly-interest-rate-house-loans/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Jan 2025
    Area covered
    Indonesia
    Description

    As of January 2025, the average monthly interest rate for house loans in Indonesia was **** percent. The country's house loan interest rate has gradually decreased over the past few years, with a drop of around *** percent compared to the rate in January 2021. House financing and ownership in Indonesia With mortgage interest rates anticipated to remain lower compared to the pre-COVID-19 pandemic level, Indonesia's residential property market is expected to continue growing. Indonesian banks provided mortgage loans exceeding *** trillion Indonesian as of January 2025, catering to the majority of Indonesians who rely on loans to finance their homeownership needs. Notably, house ownership rates in Indonesian rural areas are significantly higher compared to urban areas. Amid its soaring land and house prices, Jakarta struggled with the lowest house ownership rate of any province in Indonesia. Housing prices Despite its significant housing backlog, which underscores the need for affordable housing, Indonesia's residential property price index has steadily increased in recent years. At the end of 2024, cities like Batam, Pontianak, Pekanbaru, and Samarinda saw the highest increases in property prices. This trend is not limited to primary properties, as the resale price index of second-hand houses has also shown consistent growth over the past few years.

  16. Third-Party Real Estate Activities in Slovenia - Market Research Report...

    • ibisworld.com
    Updated Jul 1, 2025
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    IBISWorld (2025). Third-Party Real Estate Activities in Slovenia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/slovenia/industry/third-party-real-estate-activities/200282/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Area covered
    Slovenia
    Description

    Companies operating in the third-party real estate industry have had to navigate numerous economic headwinds in recent years, notably rising interest rates, spiralling inflation and muted economic growth. Revenue is projected to sink at a compound annual rate of 0.6% over the five years through 2025, including an estimated jump of 1.2% in 2025 to €207.6 billion, while the average industry profit margin is forecast to reach 35.1%. Amid spiralling inflation, central banks across Europe ratcheted up interest rates, resulting in borrowing costs skyrocketing over the two years through 2023. In residential markets, elevated mortgage rates combined with tightening credit conditions eventually ate into demand, inciting a drop in house prices. Rental markets performed well when house prices were elevated (2021-2023), being the cheaper alternative for cash-strapped buyers. However, even lessors felt the pinch of rising mortgage rates, forcing them to hoist rent prices to cover costs and pricing out potential buyers. This led to a slowdown in rental markets in 2023, weighing on revenue growth. However, this has started to turn around in 2025 as interest rates have been falling across Europe in the two years through 2025, reducing borrowing costs for buyers and boosting property transactions. This has helped revenue to rebound slightly in 2025 as estate agents earn commission from property transactions. Revenue is forecast to swell at a compound annual rate of 3.7% over the five years through 2030 to €249.5 billion. Housing prices are recovering in 2025 as fixed-rate mortgages begin to drop and economic uncertainty subsides, aiding revenue growth in the short term. Over the coming years, PropTech—technology-driven innovations designed to improve and streamline the real estate industry—will force estate agents to adapt, shaking up the traditional real estate sector. A notable application of PropTech is the use of AI and data analytics to predict a home’s future value and speed up the process of retrofitting properties to become more sustainable.

  17. House price index in emerging and advanced economies worldwide 2008-2024, by...

    • statista.com
    Updated May 28, 2025
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    Statista (2025). House price index in emerging and advanced economies worldwide 2008-2024, by quarter [Dataset]. https://www.statista.com/statistics/1427342/house-price-index-emerging-and-advanced-economies-worldwide/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global house prices experienced a significant shift in 2022, with advanced economies seeing a notable decline after a prolonged period of growth. The real house price index (adjusted for inflation) for advanced economies peaked at nearly *** index points in early 2022 before falling to around ****** points by the fourth quarter of 2024. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Conversely, real house prices in emerging economies resumed growing, after a brief correction in the second half of 2022. What is behind the slowdown? Inflation and slow economic growth have been the primary drivers for the cooling of the housing market. Secondly, the growing gap between incomes and house prices since 2012 has decreased the affordability of homeownership. Last but not least, homebuyers in 2024 faced dramatically higher mortgage interest rates, further contributing to worsening sentiment and declining transactions. Some markets continue to grow While many countries witnessed a deceleration in house price growth in 2022, some markets continued to see substantial increases. Turkey, in particular, stood out with a nominal increase in house prices of over ** percent in the first quarter of 2024. Other countries that recorded a two-digit growth include Russia and the United Arab Emirates. When accounting for inflation, the three countries with the fastest growing residential prices in early 2024 were the United Arab Emirates, Poland, and Bulgaria.

  18. H

    Home Loan Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Aug 9, 2025
    + more versions
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    Archive Market Research (2025). Home Loan Market Report [Dataset]. https://www.archivemarketresearch.com/reports/home-loan-market-863612
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Aug 9, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global home loan market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 7% from 2025 to 2033. While the exact 2025 market size ("XX Million") is unspecified, considering a typical market size for such sectors and the provided CAGR, a reasonable estimation would place it in the range of several hundred billion to a trillion dollars depending on the geographical scope of the report (global, regional etc.). This substantial market value underscores the significant demand for home financing globally. The growth is propelled by several key factors, including increasing urbanization, rising disposable incomes in developing economies, supportive government policies promoting homeownership, and the ongoing expansion of the mortgage lending sector itself. Technological advancements, such as online lending platforms and streamlined application processes, also contribute to market expansion by increasing accessibility and efficiency. Conversely, factors like fluctuating interest rates, stringent lending regulations intended to mitigate risk, and economic downturns impacting consumer confidence can act as market restraints. However, the consistent growth trajectory suggests that the positive drivers outweigh these challenges in the long term. The home loan market is segmented based on various criteria such as loan type (fixed-rate, adjustable-rate, etc.), borrower profile (first-time homebuyers, repeat buyers), and loan amount (high-value, low-value). Key players in this dynamic market include established financial institutions like Bank of America, Charles Schwab, Citigroup, Goldman Sachs (Marcus), HSBC, JPMorgan Chase, Morgan Stanley, and Wells Fargo, alongside specialized mortgage lenders such as Dewan Housing Finance Corporation and LIC Housing Finance. Competition among these entities is intense, with each striving to innovate and offer competitive products and services to capture market share within their respective segments. This competition benefits consumers through improved terms and offerings, further driving market growth. The market's future growth trajectory will largely be influenced by the interplay between these driving forces, the potential impact of unforeseen economic events, and ongoing regulatory changes. Key drivers for this market are: Real Estate Market Trends, Government Policies. Potential restraints include: Real Estate Market Trends, Government Policies. Notable trends are: Turkey has the Highest Mortgage Interest Rate.

  19. 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
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    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.

  20. HUD Monthly Interest Rate Survey

    • datalumos.org
    • openicpsr.org
    Updated Feb 21, 2025
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    Housing and Urban Development (HUD) (2025). HUD Monthly Interest Rate Survey [Dataset]. http://doi.org/10.3886/E220323V1
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Housing and Urban Development (HUD)
    License

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

    Description

    The HUD monthly interest rate survey provides information on interest rates, loan terms, and house prices. The survey is conducted by property type, loan type, and lender type. How the survey is conducted The survey provides information on all properties, new properties, and previously occupied properties.The survey provides information on fixed-rate and adjustable-rate loans.The survey provides information on lenders such as savings associations, mortgage companies, commercial banks, and savings banks.What the survey includes The survey provides information on interest rates, loan terms, and house prices.The survey provides information on property type, loan type, and lender type.Update on the Discontinuation of FHFA's Monthly Interest Rate Survey (MIRS)On May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.As some banks use the ARM Index as the basis for adjusting the interest rates on adjustable-rate mortgages, FHFA created and designated as the replacement for the ARM Index a version of Freddie Mac’s 30-year Primary Mortgage Market Survey® (PMMS®) that adjusts for differences between the two. This new index is called “MIRS Transition Index” and will be published on fhfa.gov on the final Thursday of every month. June 2019 was the first MIRS Transition index value to be published. The MIRS Transition index is intended to be used in lieu of the discontinued index for currently outstanding loans, and not as a reference rate on newly-originated adjustable-rate mortgages. The MIRS Transition Index was briefly referred to as PMMS+. It is not a replacement for PMMS.

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Praveen Chandran (2024). U.S. Housing Prices: Regional Trends (2000 - 2023) [Dataset]. https://www.kaggle.com/datasets/praveenchandran2006/u-s-housing-prices-regional-trends-2000-2023
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U.S. Housing Prices: Regional Trends (2000 - 2023)

Housing Price Index Data for U.S. Cities (Fetched via FRED API)

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 6, 2024
Dataset provided by
Kaggle
Authors
Praveen Chandran
Area covered
United States
Description

Dataset Overview

This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

Why This Dataset?

The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

What’s Included?

Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

Columns Description

Each column represents the housing price index for a specific region or aggregate, starting with a date column:

Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

Potential Use Cases

Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

Who Can Use This Dataset?

This dataset is perfect for:

Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

Example Questions to Explore

Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

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