100+ datasets found
  1. Metros where homes sold the fastest in the U.S. 2024, by number of days

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Metros where homes sold the fastest in the U.S. 2024, by number of days [Dataset]. https://www.statista.com/statistics/889984/cities-homes-sold-fastest-usa-by-days/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    United States
    Description

    Homes in San Jose, Hartford, and Washington, DC were the hottest housing markets in the United States in April 2024, when considering the time needed to sell a house. In San Jose, listings took on average ** days to go to pending. Nationwide, the average number of days on market was ** days.

  2. 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?

  3. Median sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    Updated May 30, 2016
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    Statista Research Department (2016). Median sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/study/10748/residential-housing-in-the-us-statista-dossier/
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    Dataset updated
    May 30, 2016
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The median sales price of new homes sold in the United States increased steadily from 1965 to 2022, followed by two years of decline. In 2024, a newly built home cost approximately 420,300 U.S. dollars. That was a decline from the peak price of 434,500 U.S. dollars in 2022. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.

  4. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
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    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jul 2025 about median 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. U

    United States House Prices Growth

    • ceicdata.com
    Updated Feb 15, 2020
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    CEICdata.com (2020). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Feb 15, 2020
    Dataset provided by
    CEICdata.com
    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.

  7. T

    United States Nahb Housing Market Index

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 17, 2025
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    TRADING ECONOMICS (2025). United States Nahb Housing Market Index [Dataset]. https://tradingeconomics.com/united-states/nahb-housing-market-index
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 17, 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, 1985 - Jul 31, 2025
    Area covered
    United States
    Description

    Nahb Housing Market Index in the United States increased to 33 points in July from 32 points in June of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. F

    Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA)

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA) [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMAR26300
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Hot Springs, Arkansas
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA) (MEDDAYONMAR26300) from Jul 2016 to Jul 2025 about Hot Springs, AR, median, and USA.

  9. U

    United States Real Estate Brokerage Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
    + more versions
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    Market Report Analytics (2025). United States Real Estate Brokerage Market Report [Dataset]. https://www.marketreportanalytics.com/reports/united-states-real-estate-brokerage-market-92040
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 1, 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
    United States
    Variables measured
    Market Size
    Description

    The United States real estate brokerage market, valued at $197.33 billion in 2025, is projected to experience steady growth, driven primarily by a robust housing market, increasing urbanization, and the growing preference for professional real estate services. The market's Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033 indicates a consistent, albeit moderate, expansion. Key market segments include residential and non-residential properties, with sales and rental services as primary revenue streams. Major players such as Keller Williams, RE/MAX, and Coldwell Banker dominate the market, leveraging extensive networks and advanced technological tools to enhance client services. While competition is fierce, the market's growth is fueled by factors like rising home prices, increasing investor interest in real estate, and the continuing need for expert guidance in navigating complex real estate transactions. The market faces challenges such as fluctuating interest rates which can impact buyer affordability and economic downturns that can reduce both sales and rental activity, thereby influencing the overall market expansion. However, the long-term outlook remains positive, supported by the enduring demand for housing and the critical role of brokerage firms in facilitating real estate transactions. The increasing use of online platforms and proptech solutions is also expected to further shape the market landscape in the coming years. The segmentation by property type (residential and non-residential) and service type (sales and rental) provides valuable insights into market dynamics. Residential sales are likely to remain the largest segment, driven by demographic shifts and population growth. The non-residential segment, encompassing commercial properties, will likely experience growth influenced by business expansion and investment activities. The rental segment is expected to continue its growth, particularly in urban areas facing housing shortages. The competitive landscape features established national brands alongside smaller, localized firms. The success of individual firms will depend on their ability to adapt to technological advancements, offer specialized services, and build strong client relationships. Furthermore, government regulations and economic conditions will also continue to play a significant role in shaping the market's trajectory. Recent developments include: May 2024: Compass Inc., the leading residential real estate brokerage by sales volume in the United States, acquired Parks Real Estate, Tennessee's top residential real estate firm that boasts over 1,500 agents. Known for its strategic acquisitions and organic growth, Compass's collaboration with Parks Real Estate not only enriches its agent pool but also grants these agents access to Compass's cutting-edge technology and a vast national referral network., April 2024: Compass has finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Notable trends are: Industrial Sector Leads Real Estate Absorption, Retail Tightens Vacancy Rates.

  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
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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
    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. F

    Monthly Supply of New Houses in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Monthly Supply of New Houses in the United States [Dataset]. https://fred.stlouisfed.org/series/MSACSR
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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 Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Jun 2025 about supplies, new, housing, and USA.

  12. T

    United States Total Housing Inventory

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 23, 2025
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    TRADING ECONOMICS (2025). United States Total Housing Inventory [Dataset]. https://tradingeconomics.com/united-states/total-housing-inventory
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 23, 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
    Jun 30, 1982 - Jun 30, 2025
    Area covered
    United States
    Description

    Total Housing Inventory in the United States decreased to 1530 Thousands in June from 1540 Thousands in May of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

  13. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jul 23, 2025
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    TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 23, 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, 1968 - Jun 30, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States decreased to 3930 Thousand in June from 4040 Thousand in May of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. Leading metros for Gen Z house buyers in the U.S. in 2022

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Leading metros for Gen Z house buyers in the U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1260384/leading-cities-for-gen-z-home-buyers-usa/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, Salt Lake City, Utah, was the hottest market for Generation Z home buyers in the United States. Gen Zers in Salt Lake City were responsible for over **** percent of mortgage requests in that metropolitan area. According to the source, affordability plays a role in choosing a home: The average loan amount in the most popular housing markets was between roughly ******* and ******* U.S. dollars. In 2021, the median price of a single-family home stood between ******* U.S. dollars and ******* U.S. dollars, depending on the region.

  15. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jul 2025 about active listing, listing, and USA.

  16. Housing Developers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Housing Developers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/housing-developers-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
    2015 - 2030
    Area covered
    United States
    Description

    Despite the pandemic's broader economic disruptions, low interest rates in 2020 initially fueled a housing market boom driven by work-from-home orders and a shift toward residential construction. This surge was a lifeline for builders amid economic turbulence. However, the tide turned in 2022 and 2023 as the Federal Reserve's interest rate hikes curbed housing investments, dampening consumer enthusiasm and slowing residential construction activity. Low housing stock and rate cuts late in 2024 led to growth in single-family housing starts, boosting revenue. Single-family home development climbed in more affordable and less densely populated areas in 2024, but new multifamily developments have plummeted. Industry revenue has been climbing at a CAGR of 0.8% over the past five years to total an estimated $233.5 billion in 2025, including an estimated increase of 0.2% in 2025 alone. The initial boom in 2020 and 2021 led to one of the most significant expansions in home-building in recent memory, yet interest rate hikes soon tempered this growth. As smaller-scale developers struggled with escalating construction costs and regulatory hurdles, larger, financially robust companies like DR Horton, Lennar and PulteGroup managed to thrive and expand their operations. These larger companies maximized their market share, leveraging their resources to navigate the challenging economic climate and maintain momentum despite the pressures of rising material costs and labor shortages. These rising material costs and labor shortages have driven up purchase and wage costs, contributing to profit declines over the past five years. Expected interest rate cuts will boost housing developers. Developers will benefit from these favorable conditions, especially those who strategically invest in less densely populated areas to meet the growing appetite for affordable housing. Rate cuts will also provide relief to smaller housing developers more sensitive to interest rate fluctuations. Sustainability also looms on the horizon, with tax incentives and energy-efficient building standards encouraging developers to explore eco-friendly construction. Still, rising material costs and labor shortages will continue to stifle profit growth and increase housing prices. Larger companies will continue to gain market share, strategically developing homes near areas with strong job growth near new large manufacturing facilities. Industry revenue is forecast to expand at a CAGR of 1.4% to total an estimated $250.6 billion through the end of 2030.

  17. F

    Market Hotness: Page View Count per Property in Garland County, AR

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Market Hotness: Page View Count per Property in Garland County, AR [Dataset]. https://fred.stlouisfed.org/series/LDPEPRYYCOUNTY5051
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    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

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

    Area covered
    Arkansas, Garland County
    Description

    Graph and download economic data for Market Hotness: Page View Count per Property in Garland County, AR (LDPEPRYYCOUNTY5051) from Aug 2018 to Jun 2025 about Garland County, AR; Hot Springs; AR; listing; and USA.

  18. Leading metros for millennial homebuyers in the United States in 2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Leading metros for millennial homebuyers in the United States in 2022 [Dataset]. https://www.statista.com/statistics/1222357/leading-cities-for-millennial-home-buyers-usa/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, San Jose, CA, was the hottest market for millennial homebuyers in the United States. Millennials in San Jose were responsible for nearly ** percent of the house purchase requests. Denver, CO, and Boston, MA, completed the top three with over ** percent of purchase requests. Which are the states with the youngest population in the U.S.? It should come as no surprise that the demographic composition plays a central role in the development of the housing market in different states. In 2020, the median age in the United States was 38.2 years, but some states, such as Alaska, District of Columbia, and Utah had much younger population. In contrast, Maine, Puerto Rico, and Hampshire had the highest median age of population. Millennials’ attitudes towards homeownership While many millennials have given up on homeownership, one in ***** people share that they are in the process of saving for a home purchase. These results suggest that young Americans have not entirely given up on the American dream of owning a home of their own.

  19. F

    Housing Inventory: Median Days on Market Month-Over-Month in Garland County,...

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market Month-Over-Month in Garland County, AR [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARMM5051
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Arkansas, Garland County
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market Month-Over-Month in Garland County, AR (MEDDAYONMARMM5051) from Jul 2017 to Jul 2025 about Garland County, AR; Hot Springs; AR; median; and USA.

  20. 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.

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Statista (2025). Metros where homes sold the fastest in the U.S. 2024, by number of days [Dataset]. https://www.statista.com/statistics/889984/cities-homes-sold-fastest-usa-by-days/
Organization logo

Metros where homes sold the fastest in the U.S. 2024, by number of days

Explore at:
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2024
Area covered
United States
Description

Homes in San Jose, Hartford, and Washington, DC were the hottest housing markets in the United States in April 2024, when considering the time needed to sell a house. In San Jose, listings took on average ** days to go to pending. Nationwide, the average number of days on market was ** days.

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