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

    • statista.com
    Updated Nov 29, 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/
    Explore at:
    Dataset updated
    Nov 29, 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. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Oct 30, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 30, 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 Oct 2025 about median and USA.

  3. American House Prices

    • kaggle.com
    zip
    Updated Dec 9, 2023
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    Jeremy Larcher (2023). American House Prices [Dataset]. https://www.kaggle.com/datasets/jeremylarcher/american-house-prices-and-demographics-of-top-cities
    Explore at:
    zip(682260 bytes)Available download formats
    Dataset updated
    Dec 9, 2023
    Authors
    Jeremy Larcher
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    A dataset comprising various variables around housing and demographics for the top 50 American cities by population.

    Variables:

    Zip Code: Zip code within which the listing is present.

    Price: Listed price for the property.

    Beds: Number of beds mentioned in the listing.

    Baths: Number of baths mentioned in the listing.

    Living Space: The total size of the living space, in square feet, mentioned in the listing.

    Address: Street address of the listing.

    City: City name where the listing is located.

    State: State name where the listing is located.

    Zip Code Population: The estimated number of individuals within the zip code. Data from Simplemaps.com.

    Zip Code Density: The estimated number of individuals per square mile within the zip code. Data from Simplemaps.com.

    County: County where the listing is located.

    Median Household income: Estimated median household income. Data from the U.S. Census Bureau.

    Latitude: Latitude of the zip code. ** Data from Simplemaps.com.**

    Longitude: Longitude of the zip code. Data from Simplemaps.com.

  4. 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.

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

    • statista.com
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    Statista, 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 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.

  6. Negative Equity in U.S. Housing Market

    • kaggle.com
    zip
    Updated Jan 10, 2023
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    The Devastator (2023). Negative Equity in U.S. Housing Market [Dataset]. https://www.kaggle.com/datasets/thedevastator/negative-equity-in-u-s-housing-market-2017-summa
    Explore at:
    zip(6592634 bytes)Available download formats
    Dataset updated
    Jan 10, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    Negative Equity in U.S. Housing Market

    Measuring Home Values, Debt, and Credit Risk

    By Zillow Data [source]

    About this dataset

    This dataset, Negative Equity in the US Housing Market, provides an in-depth look into the negative equity occurring across the United States during this single quarter. Included are metrics such as total amount of negative equity in millions of dollars, total number of homes in negative equity, percentage of homes with mortgages that are in negative equity and more. These data points provide helpful insights into both regional and national trends regarding the prevalence and rate of home mortgage delinquency stemming from a diminishment of value from peak levels.

    Home types available for analysis include 'all homes', condos/co-ops, multifamily units containing five or more housing units as well as duplexes/triplexes. Additionally, Cash buyers rates for particular areas can also be determined by referencing this collection. Further metrics such as mortgage affordability rates and impacts on overall indebtedness are readily calculated using information related to Zillow's Home Value Index (ZHVI) forecast methodology and TransUnion data respectively.

    Other variables featured within this dataset include characteristics like region type (i.e city, county ..etc), size rank based on population values , percentage change in ZHVI since peak levels as well as loan-to-value ratio greater than 200 across all regions constituted herein (NE). Moreover Zillow's own Secondary Mortgage Market Survey data is utilized to acquire average mortgage quote rates while correlative Census Bureau NCHS median household income figures represent typical assessable proportions between wages and debt obligations . So whether you're looking to assess effects along metro lines or detailed buffering through zip codes , this database should prove sufficient for insightful explorations! Nonetheless users must strictly adhere to all conditions encompassed within Terms Of Use commitments put forth by our lead provider before accessing any resources included herewith

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    Research Ideas

    • Analyzing regional and state trends in negative equity: Analyze geographic differences in the percentage of mortgages “underwater”, total amount of negative equity, number of homes at least 90 days late, and other key indicators to provide insight into the factors influencing negative equity across regions, states and cities.
    • Tracking the recovery rate over time: Track short-term changes in numbers related to negative equity (e.g., region or area ZHVI Change from Peak) to monitor recovery rates over time as well as how different policy interventions are affecting homeownership levels in affected areas.
    • Exploring best practices for promoting housing affordability: Compare affordability metrics (e.g., mortgage payments, price-to-income ratios) across different geographic locations over time to identify best practices for empowering homeowners and promoting stability within the housing market while reducing local inequality impacts related to availability of affordable housing options and access to credit markets like mortgages/loans etc

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    See the dataset description for more information.

    Columns

    File: NESummary_2017Q1_Public.csv | Column name | Description | |:------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------| | RegionType | The type of region (e.g., city, county, metro etc.) (String) | | City | Name of the city (String) | | County | Name of the county (String) | | State | Name of the state (String) | | Metro ...

  7. T

    United States Nahb Housing Market Index

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States Nahb Housing Market Index [Dataset]. https://tradingeconomics.com/united-states/nahb-housing-market-index
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Oct 16, 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 - Nov 30, 2025
    Area covered
    United States
    Description

    Nahb Housing Market Index in the United States increased to 38 points in November from 37 points in October 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. U

    United States House Prices Growth

    • ceicdata.com
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    CEICdata.com, United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
    Explore at:
    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
    Dec 1, 2022 - Sep 1, 2025
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 3.3% YoY in Sep 2025, following an increase of 4.1% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Sep 2025, with an average growth rate of -12.4%.
    • 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. 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
    Explore at:
    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. Typical price of single-family homes in the U.S. 2020-2024, by state

    • statista.com
    Updated Apr 16, 2022
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    Statista (2022). Typical price of single-family homes in the U.S. 2020-2024, by state [Dataset]. https://www.statista.com/statistics/1041708/typical-home-value-single-family-homes-usa-by-state/
    Explore at:
    Dataset updated
    Apr 16, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

  11. Housing Prices Dataset

    • kaggle.com
    zip
    Updated Jan 12, 2022
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    M Yasser H (2022). Housing Prices Dataset [Dataset]. https://www.kaggle.com/datasets/yasserh/housing-prices-dataset
    Explore at:
    zip(4740 bytes)Available download formats
    Dataset updated
    Jan 12, 2022
    Authors
    M Yasser H
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://raw.githubusercontent.com/Masterx-AI/Project_Housing_Price_Prediction_/main/hs.jpg" alt="">

    Description:

    A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

    Acknowledgement:

    Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

    Objective:

    • Understand the Dataset & cleanup (if required).
    • Build Regression models to predict the sales w.r.t a single & multiple feature.
    • Also evaluate the models & compare thier respective scores like R2, RMSE, etc.
  12. R

    Residential Real Estate Market in Latin America Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    + more versions
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    Data Insights Market (2025). Residential Real Estate Market in Latin America Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-latin-america-17295
    Explore at:
    ppt, doc, pdfAvailable 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
    Latin America, Americas
    Variables measured
    Market Size
    Description

    Discover the booming Latin American residential real estate market! This in-depth analysis reveals a $477.77M (2025) market with an 8.32% CAGR, driven by urbanization and economic growth. Explore key trends, challenges, and top players in Mexico, Brazil, Colombia, and beyond. Invest wisely with our comprehensive market insights. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

  13. F

    Housing Inventory: Median Days on Market Year-Over-Year in Hot Springs, AR...

    • fred.stlouisfed.org
    json
    Updated Oct 30, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market Year-Over-Year in Hot Springs, AR (CBSA) [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARYY26300
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 30, 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 Year-Over-Year in Hot Springs, AR (CBSA) (MEDDAYONMARYY26300) from Jul 2017 to Oct 2025 about Hot Springs, AR, median, and USA.

  14. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 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
    Nov 20, 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 - Oct 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4100 Thousand in October from 4050 Thousand in September 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.

  15. y

    US Existing Home Median Sales Price

    • ycharts.com
    html
    Updated Oct 23, 2025
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    National Association of Realtors (2025). US Existing Home Median Sales Price [Dataset]. https://ycharts.com/indicators/us_existing_home_median_sales_price
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    YCharts
    Authors
    National Association of Realtors
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1999 - Sep 30, 2025
    Area covered
    United States
    Variables measured
    US Existing Home Median Sales Price
    Description

    View monthly updates and historical trends for US Existing Home Median Sales Price. from United States. Source: National Association of Realtors. Track ec…

  16. T

    United States FHFA House Price Index

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States FHFA House Price Index [Dataset]. https://tradingeconomics.com/united-states/housing-index
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Sep 15, 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, 1991 - Sep 30, 2025
    Area covered
    United States
    Description

    Housing Index in the United States decreased to 435.40 points in September from 435.60 points in August of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. Main reasons for buying a home U.S. 2024

    • statista.com
    Updated Mar 4, 2025
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    Statista Research Department (2025). Main reasons for buying a home U.S. 2024 [Dataset]. https://www.statista.com/topics/1618/residential-housing-in-the-us/
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The primary reasons for purchasing a home in the United States in 2024 varied among home buyers. Approximately one in four homebuyers bought a home because they desired to have their own home. Having one's own home was mainly considered by millennial buyers during their home buying process.

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

    • statista.com
    Updated Nov 29, 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/
    Explore at:
    Dataset updated
    Nov 29, 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.

  19. T

    Housing Inventory: Median Days on Market Month-Over-Month in Hot Springs, AR...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 18, 2025
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    TRADING ECONOMICS (2025). Housing Inventory: Median Days on Market Month-Over-Month in Hot Springs, AR (CBSA) [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-median-days-on-market-month-over-month-in-hot-springs-ar-cbsa-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 18, 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 1, 1976 - Dec 31, 2025
    Area covered
    Hot Springs, Arkansas
    Description

    Housing Inventory: Median Days on Market Month-Over-Month in Hot Springs, AR (CBSA) was -5.70% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market Month-Over-Month in Hot Springs, AR (CBSA) reached a record high of 35.58 in December of 2022 and a record low of -33.62 in March of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market Month-Over-Month in Hot Springs, AR (CBSA) - last updated from the United States Federal Reserve on December of 2025.

  20. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

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

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Dataset updated
Nov 29, 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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