42 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. 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.

  4. F

    Monthly Supply of New Houses in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 24, 2025
    + more versions
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    (2025). Monthly Supply of New Houses in the United States [Dataset]. https://fred.stlouisfed.org/series/MSACSR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 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 Aug 2025 about supplies, new, housing, and USA.

  5. 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.

  6. 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
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    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.
  7. T

    United States Housing Starts

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 17, 2025
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    TRADING ECONOMICS (2025). United States Housing Starts [Dataset]. https://tradingeconomics.com/united-states/housing-starts
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 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, 1959 - Aug 31, 2025
    Area covered
    United States
    Description

    Housing Starts in the United States decreased to 1307 Thousand units in August from 1429 Thousand units in July of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. T

    Housing Inventory: Median Days on Market Year-Over-Year 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 Year-Over-Year in Hot Springs, AR (CBSA) [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-median-days-on-market-year-over-year-in-hot-springs-ar-cbsa-fed-data.html
    Explore at:
    xml, excel, json, 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 Year-Over-Year in Hot Springs, AR (CBSA) was 8.76% in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market Year-Over-Year in Hot Springs, AR (CBSA) reached a record high of 55.19 in March of 2023 and a record low of -54.60 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market Year-Over-Year in Hot Springs, AR (CBSA) - last updated from the United States Federal Reserve on December of 2025.

  9. 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.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Oct 30, 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
    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 in Hot Springs, AR (CBSA) (MEDDAYONMAR26300) from Jul 2016 to Oct 2025 about Hot Springs, AR, median, and USA.

  11. 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.

  12. U

    United States Avg Days on Market: All Residential: Hot Springs, AR

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Avg Days on Market: All Residential: Hot Springs, AR [Dataset]. https://www.ceicdata.com/en/united-states/average-days-on-market-by-metropolitan-areas/avg-days-on-market-all-residential-hot-springs-ar
    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
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    United States Avg Days on Market: All Residential: Hot Springs, AR data was reported at 58.000 Day in Jul 2020. This records a decrease from the previous number of 60.000 Day for Jun 2020. United States Avg Days on Market: All Residential: Hot Springs, AR data is updated monthly, averaging 91.500 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 158.000 Day in Feb 2015 and a record low of 50.000 Day in Sep 2019. United States Avg Days on Market: All Residential: Hot Springs, AR data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB006: Average Days on Market: by Metropolitan Areas.

  13. USA Weekly Real Estate Listings 2022-2023

    • kaggle.com
    zip
    Updated Apr 3, 2024
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    Artur Dragunov (2024). USA Weekly Real Estate Listings 2022-2023 [Dataset]. https://www.kaggle.com/datasets/arturdragunov/usa-weekly-real-estate-listings
    Explore at:
    zip(66961155 bytes)Available download formats
    Dataset updated
    Apr 3, 2024
    Authors
    Artur Dragunov
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United States
    Description

    These Kaggle datasets offer a comprehensive analysis of the US real estate market, leveraging data sourced from Redfin via an unofficial API. It contains weekly snapshots stored in CSV files, reflecting the dynamic nature of property listings, prices, and market trends across various states and cities, except for Wyoming, Montana, and North Dakota, and with specific data generation for Texas cities. Notably, the dataset includes a prepared version, USA_clean_unique, which has undergone initial cleaning steps as outlined in the thesis. These datasets were part of my thesis; other two countries were France and UK.

    These steps include: - Removal of irrelevant features for statistical analysis. - Renaming variables for consistency across international datasets. - Adjustment of variable value ranges for a more refined analysis.

    Unique aspects such as Redfin’s “hot” label algorithm, property search status, and detailed categorizations of property types (e.g., single-family residences, condominiums/co-ops, multi-family homes, townhouses) provide deep insights into the market. Additionally, external factors like interest rates, stock market volatility, unemployment rates, and crime rates have been integrated to enrich the dataset and offer a multifaceted view of the real estate market's drivers.

    The USA_clean_unique dataset represents a key step before data normalization/trimming, containing variables both in their raw form and categorized based on predefined criteria, such as property size, year of construction, and number of bathrooms/bedrooms. This structured approach aims to capture the non-linear relationships between various features and property prices, enhancing the dataset's utility for predictive modeling and market analysis.

    See columns from USA_clean_unique.csv and my Thesis (Table 2.8) for exact column descriptions.

    Table 2.4 and Section 2.2.3, which I refer to in the column descriptions, can be found in my thesis; see University Library. Click on Online Access->Hlavni prace.

    If you want to continue generating datasets yourself, see my Github Repository for code inspiration.

    Let me know if you want to see how I got from raw data to USA_clean_unique.csv. Multiple steps include cleaning in Tableau Prep and R, downloading and merging external variables to the dataset, removing duplicates, and renaming columns for consistency.

  14. Nominal house price index in select countries in APAC region 2010-2025, by...

    • statista.com
    Updated Feb 3, 2025
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    Statista Research Department (2025). Nominal house price index in select countries in APAC region 2010-2025, by quarter [Dataset]. https://www.statista.com/topics/5466/global-housing-market/
    Explore at:
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2025, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the second quarter of the year, the nominal house price index in India reached over 359 index points. This suggests an increase of 259 percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.

  15. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 18, 2025
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    TRADING ECONOMICS (2025). Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA) [Dataset]. https://tradingeconomics.com/united-states/housing-inventory-median-days-on-market-in-hot-springs-ar-cbsa-fed-data.html
    Explore at:
    excel, csv, xml, jsonAvailable 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 in Hot Springs, AR (CBSA) was 75.00000 Level in October of 2025, according to the United States Federal Reserve. Historically, Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA) reached a record high of 114.00000 in January of 2017 and a record low of 37.00000 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory: Median Days on Market in Hot Springs, AR (CBSA) - last updated from the United States Federal Reserve on November of 2025.

  16. Hot Springs County, Wyoming Mortgage Market Analysis (2018-2024)

    • homebuyer.com
    Updated Nov 5, 2025
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    U.S. Department of Veterans Affairs (VA) (2025). Hot Springs County, Wyoming Mortgage Market Analysis (2018-2024) [Dataset]. https://homebuyer.com/mortgage-loan-limits/hot-springs-county-wyoming
    Explore at:
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    U.S. Department of Veterans Affairs (VA)
    U.S. Department of Agriculture (USDA)
    Homebuyer.com
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Wyoming, Hot Springs County
    Description

    Explore borrowing and mortgage trends in Hot Springs County, including conventional vs. government loan performance, average loan sizes, and market share shifts. Data sourced from HMDA regulatory filings shows how local lending patterns evolve through changing market conditions.

  17. Hot Springs County Loan Limits: Complete Historical Table

    • homebuyer.com
    Updated Nov 5, 2025
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    Homebuyer.com (2025). Hot Springs County Loan Limits: Complete Historical Table [Dataset]. https://homebuyer.com/mortgage-loan-limits/hot-springs-county-wyoming
    Explore at:
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    U.S. Department of Veterans Affairs (VA)
    U.S. Department of Agriculture (USDA)
    Homebuyer.com
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Hot Springs County
    Description

    Browse the full historical data for Hot Springs County mortgage loan limits from 1972 to 2025. This comprehensive table shows how loan limits have changed over 50+ years, helping you understand long-term trends in your local housing market.

  18. Average price per square meter of an apartment in Austria 2025, by city

    • statista.com
    Updated Feb 3, 2025
    + more versions
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    Statista Research Department (2025). Average price per square meter of an apartment in Austria 2025, by city [Dataset]. https://www.statista.com/topics/5466/global-housing-market/
    Explore at:
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Innsbruck was the most expensive Austrian city to buy an apartment in, with average values of 7,700 euros per square meter in the first quarter of 2025. The price of an apartment in Graz was significantly lower at 4,590 euros per square meter.

  19. a

    Best Airbnb Markets in The United States

    • airbtics.com
    Updated Oct 4, 2025
    + more versions
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    Airbtics (2025). Best Airbnb Markets in The United States [Dataset]. https://airbtics.com/best-airbnb-markets-the-united-states/
    Explore at:
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Airbtics
    Time period covered
    Sep 2024 - Aug 2025
    Area covered
    United States
    Variables measured
    yield, annualRevenue, occupancyRate, averageDailyRate, numberOfListings, regulationStatus
    Description

    The top 100 Airbnb markets in 2025 are: 1. Los angeles - Strict regulations, 11,250 listings, 67% occupancy rate, $213 daily rate. See other 99 places.

  20. Credit score in the metros with the highest share of Gen Z home buyers U.S....

    • statista.com
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    Statista, Credit score in the metros with the highest share of Gen Z home buyers U.S. 2022 [Dataset]. https://www.statista.com/statistics/1260437/credit-score-in-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, the average credit score of Gen Z mortgage applicants in the top 10 metros for Gen Z home buyers in the United States was between *** and ***. Salt Lake City, UT, which was the hottest market for Generation Z home buyers, had an average credit score of ***. Out of the ** most popular metros, Cincinnati, OH, was the most affordable.

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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
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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