100+ datasets found
  1. 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.
  2. c

    Redfin usa properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
    + more versions
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    Crawl Feeds (2025). Redfin usa properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-usa-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.

    Key Features:

    • Comprehensive Property Data: Includes essential details such as listing prices, property types, square footage, and the number of bedrooms and bathrooms.
    • Geographic Coverage: Encompasses a wide range of U.S. states and cities, providing a broad view of the national real estate market.
    • Historical Trends: Analyze past market data to understand price movements, regional differences, and market trends over time.
    • Geo-Location Details: Enables spatial analysis and mapping by including precise geographical coordinates of properties.

    Who Can Benefit From This Dataset:

    • Real Estate Investors: Identify lucrative opportunities by analyzing property values, market trends, and regional price variations.
    • Market Analysts: Gain a deeper understanding of the U.S. housing market dynamics to inform research and reporting.
    • Data Scientists and Researchers: Leverage detailed real estate data for modeling, urban studies, or economic analysis.
    • Financial Analysts: Utilize the dataset for financial modeling, helping to predict market behavior and assess investment risks.

    Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    đź”— Request Redfin Real Estate Data

  3. 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/
    Explore at:
    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.

  4. Median sale price of existing homes sold in the U.S. 1990-2024 with forecast...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Median sale price of existing homes sold in the U.S. 1990-2024 with forecast for 2027 [Dataset]. https://www.statista.com/statistics/272776/median-price-of-existing-homes-in-the-united-states-from-2011/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market continues to evolve, with the median price for existing homes forecast to fall to ******* U.S. dollars by 2027. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with a modest price increase of *** percent in 2024. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in 2025, with Rhode Island and West Virginia leading the packby home appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

  5. 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.

  6. U.S. housing: Case Shiller National Home Price Index 2000-2024

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). U.S. housing: Case Shiller National Home Price Index 2000-2024 [Dataset]. https://www.statista.com/statistics/199360/case-shiller-national-home-price-index-for-the-us-since-2000/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The year-end value of the S&P Case Shiller National Home Price Index amounted to 321.45 in 2024. The index value was equal to 100 as of January 2000, so if the index value is equal to 130 in a given year, for example, it means that the house prices increased by 30 percent since 2000. S&P/Case Shiller U.S. home indices – additional informationThe S&P Case Shiller National Home Price Index is calculated on a monthly basis and is based on the prices of single-family homes in nine U.S. Census divisions: New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain and Pacific. The index is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The index illustrates the trend of home prices and can be helpful during house purchase decisions. When house prices are rising, a house buyer might want to speed up the house purchase decision as the transaction costs can be much higher in the future. The S&P Case Shiller National Home Price Index has been on the rise since 2011.The S&P Case Shiller National Home Price Index is one of the indices included in the S&P/Case-Shiller Home Price Index Series. Other indices are the S&P/Case Shiller 20-City Composite Home Price Index, the S&P/Case Shiller 10-City Composite Home Price Index and twenty city composite indices.

  7. US Current Real Estate Market Values | National Automated Valuation Model...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jan 18, 2025
    + more versions
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    The Warren Group (2025). US Current Real Estate Market Values | National Automated Valuation Model (AVM) Data | Home Sale Prices, Market Trends, and Geographic Data [Dataset]. https://datarade.ai/data-products/us-national-automated-valuation-model-avm-data-current-ma-the-warren-group
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset provided by
    Authors
    The Warren Group
    Area covered
    United States of America
    Description

    Our Bulk Automated Valuation Model (AVM) is a service that uses mathematical modeling to determine current market values. AVMs integrate vast amounts of data, including sales prices, market trends, and geographic information, to estimate real estate values with minimal human intervention – often referred to as “Desktop Valuations”. These models are designed to provide objective and uniform evaluations, helping to standardize property valuations across the board.

    What Does Our AVM Offer?

    Our Automated Valuation Model (AVM) leverages cutting-edge technologies, the most recent methodologies, and is supported by the foremost data provider with the largest datasets in the industry. This ensures a swift, exceptionally accurate AVM that delivers the comprehensive insights you need.

    AVM Data Details:

    • Property Address
    • FIPS
    • Property ID
    • APN
    • Final Value
    • High Value
    • Low Value
    • Confidence Score
    • Standard Deviation
    • Valuation Date
    • Recording Time Stamp
    • Recording Type
  8. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    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 Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  9. 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.

  10. U

    United States Home Construction Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Market Report Analytics (2025). United States Home Construction Market Report [Dataset]. https://www.marketreportanalytics.com/reports/united-states-home-construction-market-92174
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 23, 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 home construction market, valued at approximately $700 billion in 2025, is experiencing robust growth, projected to maintain a compound annual growth rate (CAGR) exceeding 3% through 2033. This expansion is fueled by several key factors. Firstly, a persistent housing shortage, particularly in desirable urban areas like New York City, Los Angeles, and San Francisco, continues to drive demand. Secondly, favorable demographic trends, including millennial household formation and an increasing preference for homeownership, are bolstering the sector. Furthermore, low interest rates (though this is subject to change depending on economic conditions) have historically made mortgages more accessible, stimulating construction activity. However, the market isn't without its challenges. Rising material costs, labor shortages, and supply chain disruptions continue to exert upward pressure on construction prices, potentially impacting affordability and slowing growth in certain segments. The market is segmented by dwelling type (apartments & condominiums, villas, other), construction type (new construction, renovation), and geographic location, with significant activity concentrated in major metropolitan areas. The dominance of large national builders like D.R. Horton, Lennar Corp, and PulteGroup highlights the industry's consolidation trend, while the growth of multi-family construction reflects shifting urban preferences. Looking ahead, the market's trajectory will depend on macroeconomic factors, interest rate fluctuations, government policies impacting housing affordability, and the ability of the industry to address supply-chain and labor challenges. Innovation in construction technologies, sustainable building practices, and prefabricated homes are also emerging trends expected to significantly influence market dynamics over the forecast period. The competitive landscape is characterized by a mix of large publicly traded companies and smaller regional builders. While established players dominate the market share, opportunities exist for smaller firms specializing in niche markets, such as sustainable or luxury home construction, or those focused on specific geographic areas. The ongoing expansion of the market signifies significant potential for investment and growth, despite the hurdles currently impacting the sector. Addressing supply chain disruptions and labor shortages will be crucial for sustained growth. Continued demand in key urban centers and evolving consumer preferences toward specific dwelling types will be critical factors determining the market's future trajectory. Recent developments include: June 2022 - Pulte Homes - a national brand of PulteGroup, Inc. - announced the opening of its newest Boston-area community, Woodland Hill. Offering 46 new construction single-family homes in the charming town of Grafton, the community is conveniently located near schools, dining, and entertainment, with the Massachusetts Bay Transportation Authority commuter rail less than a mile away. The collection of home designs at Woodland Hill includes three two-story floor plans, ranging in size from 3,013 to 4,019 sq. ft. with four to six bedrooms, 2.5-3.5 baths, and 2-3 car garages. These spacious home designs feature flexible living spaces, plenty of natural light, gas fireplaces, and the signature Pulte Planning Center®, a unique multi-use workstation perfect for homework or a family office., December 2022 - D.R. Horton, Inc. announced the acquisition of Riggins Custom Homes, one of the largest builders in Northwest Arkansas. The homebuilding assets of Riggins Custom Homes and related entities (Riggins) acquired include approximately 3,000 lots, 170 homes in inventory, and 173 homes in the sales order backlog. For the trailing twelve months ended November 30, 2022, Riggins closed 153 homes (USD 48 million in revenue) with an average home size of approximately 1,925 square feet and an average sales price of USD 313,600. D.R. Horton expects to pay approximately USD 107 million in cash for the purchase, and the Company plans to combine the Riggins operations with the current D.R. Horton platform in Northwest Arkansas.. Notable trends are: High-interest Rates are Negatively Impacting the Market.

  11. Factors Affecting USA National Home Prices Dataset

    • kaggle.com
    zip
    Updated Oct 30, 2023
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    Madhur Pant (2023). Factors Affecting USA National Home Prices Dataset [Dataset]. https://www.kaggle.com/madhurpant/factors-affecting-usa-national-home-prices
    Explore at:
    zip(28864 bytes)Available download formats
    Dataset updated
    Oct 30, 2023
    Authors
    Madhur Pant
    License

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

    Area covered
    United States
    Description

    Factors Affecting USA National Home Prices:

    Overview:

    This dataset contains a comprehensive collection of indicators which dictate the housing prices in the United States.

    1. US Mortgage Rates:

    • The average interest rates on mortgage loans in the United States.
    • Used to track the cost of borrowing for housing and its impact on the real estate market.

    2. Gross Domestic Product (GDP):

    • The total monetary value of all goods and services produced within the United States during a specified period.
    • A fundamental measure of economic performance, reflecting the overall economic health and growth trends of the country.

    3. Unemployment Rates:

    • The percentage of the labor force that is currently unemployed and actively seeking employment.
    • A crucial indicator of labor market health and economic stability, influencing government policies and social welfare programs.

    4. FED Funds Rate:

    • The interest rate at which depository institutions lend reserve balances to other depository institutions overnight, as set by the Federal Reserve.
    • This rate is a primary tool for monetary policy, influencing borrowing costs and, subsequently, overall economic activity.

    5. Population Growth:

    • The annual rate at which the U.S. population is changing, reflecting births, deaths, and migration.
    • Offers insights into demographic trends, which have implications for labor force, consumer markets, and social services planning.

    6. Consumer Price Index (CPI):

    • A measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services.
    • A key indicator for assessing inflation or deflation, influencing consumer spending behavior and economic policy decisions.

    S&P Case-Shiller Housing Price Index (USA):

    • Measures changes in the prices of residential real estate properties over time, offering insight into the health and trends of the housing market in the United States.
    • Crucial for assessing the state of the housing market, including property values, trends, and their impact on the broader economy.
  12. 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.

  13. y

    US Existing Home Inventory

    • ycharts.com
    html
    Updated Nov 20, 2025
    + more versions
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    National Association of Realtors (2025). US Existing Home Inventory [Dataset]. https://ycharts.com/indicators/us_existing_home_inventory
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 20, 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 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    US Existing Home Inventory
    Description

    View monthly updates and historical trends for US Existing Home Inventory. from United States. Source: National Association of Realtors. Track economic da…

  14. U

    United States Real Estate Brokerage Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
    + more versions
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    Data Insights Market (2025). United States Real Estate Brokerage Market Report [Dataset]. https://www.datainsightsmarket.com/reports/united-states-real-estate-brokerage-market-20315
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 8, 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
    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, exhibiting a Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033. This growth is driven by several key factors. A robust housing market, fueled by increasing population and urbanization, continues to generate significant demand for brokerage services. Technological advancements, such as improved online platforms and data analytics, are streamlining operations and enhancing efficiency for both brokers and consumers. The rise of iBuyers and proptech companies, while posing some competition, also contribute to market expansion by creating innovative solutions and attracting a broader customer base. Furthermore, a shift toward specialized services, catering to niche markets like luxury properties or commercial real estate, is expected to contribute to market diversification and growth. The market is segmented into residential and non-residential sectors, with sales and rental services further dividing each segment. Major players such as Keller Williams, RE/MAX, Coldwell Banker, and Berkshire Hathaway Home Services maintain significant market shares, competing through brand recognition, extensive networks, and technological capabilities. However, certain restraints are present. Interest rate fluctuations and economic uncertainty can impact buyer confidence and consequently, transaction volume. Increasing regulatory scrutiny and compliance costs also add operational challenges for brokerage firms. Competition from independent agents and disruptive technologies demands continuous adaptation and innovation to maintain market competitiveness. The residential segment is expected to remain the largest, driven by consistent demand, while the non-residential sector may show slightly slower growth given fluctuations in commercial investment and development cycles. The sales segment will likely maintain its predominance, although the rental market is anticipated to see growth, reflecting evolving consumer preferences and rental market trends. The ongoing evolution of the market will likely see greater consolidation among larger firms and an increased focus on technological solutions, enhancing transparency, customer experience, and overall market efficiency. This comprehensive report provides an in-depth analysis of the United States real estate brokerage market, covering the period from 2019 to 2033. It leverages extensive market research and data analysis to offer valuable insights into market trends, growth drivers, challenges, and key players. The report is essential for investors, industry professionals, and anyone seeking a comprehensive understanding of this dynamic sector. The base year for this analysis is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Search terms optimized for maximum visibility include: real estate brokerage, US real estate market, real estate trends, residential real estate, commercial real estate, real estate agents, real estate investment, real estate technology, M&A real estate, and real estate market analysis. 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.

  15. Average sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

  16. Data from: Housing Price Indexes

    • kaggle.com
    zip
    Updated Nov 29, 2024
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    Francis (2024). Housing Price Indexes [Dataset]. https://www.kaggle.com/datasets/noeyislearning/housing-price-indexes
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    zip(477576 bytes)Available download formats
    Dataset updated
    Nov 29, 2024
    Authors
    Francis
    License

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

    Description

    This dataset provides a comprehensive overview of new housing price indexes in Canada. The data is sourced from a reliable statistical survey, offering a detailed breakdown of housing prices across different components such as total house and land, house only, and land only. The dataset is structured to include key metrics such as geographical location, price index classification, and specific price values, providing a robust foundation for analyzing housing price dynamics within the country.

    Key Features

    • Price Index Metrics: The dataset includes price indexes for total house and land, house only, and land only, providing a complete picture of housing price dynamics across different components.
    • Geographical Focus: Data is specific to Canada, providing insights into national housing price trends and patterns.
    • Unit of Measurement: Information is presented in index units (201612=100), allowing for straightforward analysis and comparison.
    • Temporal Precision: The data is time-stamped for January 1981, ensuring relevance and accuracy for temporal analysis.

    Potential Uses

    • Real Estate Market Analysis: Assist in understanding the housing price dynamics in Canada, which is crucial for real estate market forecasting and planning.
    • Investment Decisions: Provide insights into optimal investment strategies for real estate in various regions.
    • Economic Policy: Support policymakers in monitoring and ensuring compliance with housing market trends and economic standards.
    • Market-Specific Insights: Evaluate the impact of housing price trends on specific regions and potential growth or decline areas.
    • Strategic Planning: Inform strategic planning for real estate developers and policymakers by providing a clear snapshot of current housing price levels and trends.
  17. 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
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    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.

  18. Redfin Monthly Housing Market Data

    • kaggle.com
    zip
    Updated May 7, 2025
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    Rosendo Lugo (2025). Redfin Monthly Housing Market Data [Dataset]. https://www.kaggle.com/datasets/rosendolugo/redfin-monthly-housing-market-data
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    zip(56056 bytes)Available download formats
    Dataset updated
    May 7, 2025
    Authors
    Rosendo Lugo
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Data Source: Redfin (https://www.redfin.com/news/data-center) Data provided by Redfin, a national real estate brokerage. Used for academic purposes only. Please cite Redfin on first reference as: “According to Redfin, a national real estate brokerage, the U.S. housing market shows clear seasonal patterns and regional differences in pricing trends, which can be analyzed using their publicly available monthly housing data.”

  19. 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.

  20. Average house price in Canada 2018-2024, with a forecast by 2026

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Average house price in Canada 2018-2024, with a forecast by 2026 [Dataset]. https://www.statista.com/statistics/604228/median-house-prices-canada/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

Share
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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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Housing Prices Dataset

Housing Prices Prediction - Regression Problem

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13 scholarly articles cite this dataset (View in Google Scholar)
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.
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