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. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 31, 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
    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.

  3. 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?

  4. Number of newly built and existing homes for sale in the U.S. 2013-2025

    • statista.com
    Updated May 30, 2016
    + more versions
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    Statista Research Department (2016). Number of newly built and existing homes for sale in the U.S. 2013-2025 [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
    Description

    The number of existing homes for sale in the United States decreased overall since 2013, while the number of newly built homes for sale followed the opposite trend. As of May 2025, there were 1.54 million existing and 507,000 newly built housing units for sale. Unlike new homes, the existing housing inventory typically increased in the second and third quarters of the year when the housing market is more active.

  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. 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. T

    United States Nahb Housing Market Index

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 18, 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
    Aug 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 31, 1985 - Aug 31, 2025
    Area covered
    United States
    Description

    Nahb Housing Market Index in the United States decreased to 32 points in August from 33 points in July 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.

  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 Aug 26, 2025
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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
    Aug 26, 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 Q2 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  11. 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/
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    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.

  12. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 21, 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
    Aug 21, 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 - Jul 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4010 Thousand in July from 3930 Thousand in June 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.

  13. 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.

  14. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 15, 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
    Mar 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, 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.

  15. T

    United States FHFA House Price Index

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

    Housing Index in the United States decreased to 433.80 points in June from 434.60 points in May 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.

  16. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
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    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Malaysia, Australia, South Sudan, Tonga, Holy See, Congo (Democratic Republic of the), Iraq, Kazakhstan, Spain, Kuwait
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  17. 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.

  18. 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.

  19. 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.

  20. F

    Monthly Supply of New Houses in the United States

    • fred.stlouisfed.org
    json
    Updated Aug 25, 2025
    + more versions
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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
    Aug 25, 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 Jul 2025 about supplies, new, housing, and USA.

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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
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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