100+ datasets found
  1. 🏡 Global Housing Market Analysis (2015-2024)

    • kaggle.com
    zip
    Updated Mar 18, 2025
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    Atharva Soundankar (2025). 🏡 Global Housing Market Analysis (2015-2024) [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/global-housing-market-analysis-2015-2024
    Explore at:
    zip(18363 bytes)Available download formats
    Dataset updated
    Mar 18, 2025
    Authors
    Atharva Soundankar
    License

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

    Description

    This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

    📑 Column Descriptions

    Column NameDescription
    CountryThe country where the housing market data is recorded 🌍
    YearThe year of observation 📅
    Average House Price ($)The average price of houses in USD 💰
    Median Rental Price ($)The median monthly rent for properties in USD 🏠
    Mortgage Interest Rate (%)The average mortgage interest rate percentage 📉
    Household Income ($)The average annual household income in USD 🏡
    Population Growth (%)The percentage increase in population over the year 👥
    Urbanization Rate (%)Percentage of the population living in urban areas 🏙️
    Homeownership Rate (%)The percentage of people who own their homes 🔑
    GDP Growth Rate (%)The annual GDP growth percentage 📈
    Unemployment Rate (%)The percentage of unemployed individuals in the labor force 💼
  2. US Housing Trends: Values, Time & Price Cuts

    • kaggle.com
    zip
    Updated Jul 1, 2024
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    Clovis Vieira (2024). US Housing Trends: Values, Time & Price Cuts [Dataset]. https://www.kaggle.com/datasets/clovisdalmolinvieira/us-housing-trends-values-time-and-price-cuts
    Explore at:
    zip(778276 bytes)Available download formats
    Dataset updated
    Jul 1, 2024
    Authors
    Clovis Vieira
    Description

    This dataset comes from Zillow and provides a comprehensive look at U.S. housing market trends from 2018 to May 2024. It includes detailed data on median home values, average days outstanding for property sales, and their impact on reducing prices in several cities. This dataset is ideal for analyzing the correlation between home values, time to market, and price adjustments, offering valuable insights for real estate professionals, economists, and data analysts interested in the dynamics of the U.S. housing market.

    About the license, taken from the Zillow website:

    “For research and academic projects, we provide the following metrics that have more flexible Terms of Use regarding data storage and manipulation – https://www.zillow.com/research/data/”

  3. 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.

  4. c

    Housing data from Homes dot com

    • crawlfeeds.com
    csv, zip
    Updated Sep 21, 2024
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    Crawl Feeds (2024). Housing data from Homes dot com [Dataset]. https://crawlfeeds.com/datasets/housing-data-from-homes-dot-com
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Sep 21, 2024
    Dataset authored and provided by
    Crawl Feeds
    License

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

    Description

    The Housing Data Extracted from Homes.com (USA) dataset is a comprehensive collection of 2 million real estate listings sourced from Homes.com, one of the leading real estate platforms in the United States. This dataset offers detailed insights into the U.S. housing market, making it an invaluable resource for real estate professionals, investors, researchers, and analysts.

    The dataset contains extensive property details, including location, price, property type (single-family homes, condos, apartments), number of bedrooms and bathrooms, square footage, lot size, year built, and availability status. Organized in CSV format, it provides users with easy access to structured data for analyzing trends, developing investment strategies, or building real estate applications.

    Key Features:

    • Record Count: 2 million housing listings from across the USA.
    • Data Fields: Property address, price, property type, bedrooms, bathrooms, square footage, lot size, year built, and availability.
    • Format: CSV format for easy integration with data analysis platforms, machine learning models, and real estate tools.
    • Source: Directly sourced from Homes.com’s USA real estate listings.
    • Geographical Focus: Comprehensive coverage of properties across all regions of the United States.

    Use Cases:

    • Real Estate Market Research: Analyze property prices, market trends, and housing demand in various U.S. regions.
    • Investment Analysis: Use data to identify high-potential properties and regions for real estate investments.
    • Property Comparison: Compare listings by price, location, and features to evaluate market conditions across different cities and states.
    • Machine Learning Models: Build predictive models for price forecasting, property valuation, and real estate recommendation systems.
    • Content Creation: Create real estate-related content, reports, and insights for the U.S. housing market using up-to-date data.

  5. Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jun 14, 2025
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    Technavio (2025). Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (Australia, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/residential-real-estate-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Europe, France, Brazil, United Kingdom, Germany, Mexico, Japan, North America, Canada, United States
    Description

    Snapshot img

    Residential Real Estate Market Size 2025-2029

    The residential real estate market size is valued to increase USD 485.2 billion, at a CAGR of 4.5% from 2024 to 2029. Growing residential sector globally will drive the residential real estate market.

    Major Market Trends & Insights

    APAC dominated the market and accounted for a 55% growth during the forecast period.
    By Mode Of Booking - Sales segment was valued at USD 926.50 billion in 2023
    By Type - Apartments and condominiums segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 41.01 billion
    Market Future Opportunities: USD 485.20 billion
    CAGR : 4.5%
    APAC: Largest market in 2023
    

    Market Summary

    The market is a dynamic and ever-evolving sector that continues to shape the global economy. With increasing marketing initiatives and the growing residential sector globally, the market presents significant opportunities for growth. However, regulatory uncertainty looms large, posing challenges for stakeholders. According to recent reports, technology adoption in residential real estate has surged, with virtual tours and digital listings becoming increasingly popular. In fact, over 40% of homebuyers in the US prefer virtual property viewings. Core technologies such as artificial intelligence and blockchain are revolutionizing the industry, offering enhanced customer experiences and streamlined processes.
    Despite these advancements, regulatory compliance remains a major concern, with varying regulations across regions adding complexity to market operations. The market is a complex and intriguing space, with ongoing activities and evolving patterns shaping its future trajectory.
    

    What will be the Size of the Residential Real Estate Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Residential Real Estate Market Segmented and what are the key trends of market segmentation?

    The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Mode Of Booking
    
      Sales
      Rental or lease
    
    
    Type
    
      Apartments and condominiums
      Landed houses and villas
    
    
    Location
    
      Urban
      Suburban
      Rural
    
    
    End-user
    
      Mid-range housing
      Affordable housing
      Luxury housing
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The sales segment is estimated to witness significant growth during the forecast period.

    Request Free Sample

    The Sales segment was valued at USD 926.50 billion in 2019 and showed a gradual increase during the forecast period.

    Request Free Sample

    Regional Analysis

    APAC is estimated to contribute 55% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    See How Residential Real Estate Market Demand is Rising in APAC Request Free Sample

    The market in the Asia Pacific (APAC) region holds a significant share and is projected to lead the global market growth. Factors fueling this expansion include the region's rapid urbanization and increasing consumer spending power. Notably, residential and commercial projects in countries like India and China are experiencing robust development. The residential real estate sector in China plays a pivotal role in the economy and serves as a major growth driver for the market.

    With these trends continuing, the APAC the market is poised for continued expansion during the forecast period.

    Market Dynamics

    Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    In the Residential Real Estate Market, understanding the impact property tax rates home values and effect interest rates mortgage affordability is essential for buyers and investors. Key factors affecting home price appreciation and factors influencing housing affordability shape market trends, while the importance property due diligence process and requirements environmental site assessment ensure informed decisions. Investors benefit from methods calculating rental property roi, process home equity loan application, and benefits real estate portfolio diversification. Tools like property management software efficiency and techniques effective property marketing help tackle challenges managing rental properties. Additionally, strategies successf

  6. 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.

  7. New York Housing Market

    • kaggle.com
    Updated Jan 6, 2024
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    Nidula Elgiriyewithana ⚡ (2024). New York Housing Market [Dataset]. http://doi.org/10.34740/kaggle/dsv/7351086
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 6, 2024
    Dataset provided by
    Kaggle
    Authors
    Nidula Elgiriyewithana ⚡
    Area covered
    New York
    Description

    Description:

    This dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.

    DOI

    Key Features:

    • BROKERTITLE: Title of the broker
    • TYPE: Type of the house
    • PRICE: Price of the house
    • BEDS: Number of bedrooms
    • BATH: Number of bathrooms
    • PROPERTYSQFT: Square footage of the property
    • ADDRESS: Full address of the house
    • STATE: State of the house
    • MAIN_ADDRESS: Main address information
    • ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
    • LOCALITY: Locality information
    • SUBLOCALITY: Sublocality information
    • STREET_NAME: Street name
    • LONG_NAME: Long name
    • FORMATTED_ADDRESS: Formatted address
    • LATITUDE: Latitude coordinate of the house
    • LONGITUDE: Longitude coordinate of the house

    Potential Use Cases:

    • Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
    • Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
    • Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
    • Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
    • Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.

    If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you

  8. R

    Residential Real Estate Market in the United States Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 12, 2025
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    Archive Market Research (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.archivemarketresearch.com/reports/residential-real-estate-market-in-the-united-states-868928
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market is projected for steady growth (2.04% CAGR) through 2033, driven by factors like population increase and evolving housing preferences. Discover key trends, market segmentation analysis, and leading companies shaping this dynamic sector. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  9. Fastest growing housing markets worldwide 2025

    • statista.com
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    Statista, Fastest growing housing markets worldwide 2025 [Dataset]. https://www.statista.com/statistics/1041586/price-growth-fastest-growing-home-markets-worldwide/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Turkey experienced the highest annual change in house prices in 2025, followed by North Macedonia and Portugal. In the second quarter of the year, the nominal house price in Turkey grew by **** percent, while in North Macedonia and Portugal, the increase was **** and **** percent, respectively. Meanwhile, some countries saw prices fall throughout the year. That has to do with an overall cooling of the global housing market that started in 2022. When accounting for inflation, house price growth was slower, and even more countries saw the market shrink.

  10. 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
    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 Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  11. 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.
    🔗 Request Redfin Real Estate Data

  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. C

    Housing Market Value Analysis 2021

    • data.wprdc.org
    • gimi9.com
    • +1more
    geojson, html, pdf +2
    Updated Jul 8, 2025
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    Allegheny County (2025). Housing Market Value Analysis 2021 [Dataset]. https://data.wprdc.org/dataset/market-value-analysis-2021
    Explore at:
    zip(2039140), xlsx(22669), zip(1996574), html, pdf(28782887), geojson(10301172), pdf(881980)Available download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Allegheny County
    License

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

    Description

    In 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies.

    This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes:

    • Residential Real Estate Sales
    • Mortgage Foreclosures
    • Residential Vacancy
    • Parcel Year Built
    • Parcel Condition
    • Building Violations
    • Owner Occupancy
    • Subsidized Housing Units

    The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources.

    Please refer to the presentation and executive summary for more information about the data, methodology, and findings.

  14. R

    Residential Real Estate Market in the United States Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 29, 2025
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    Market Report Analytics (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.marketreportanalytics.com/reports/residential-real-estate-market-in-the-united-states-91967
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 29, 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
    Global, United States
    Variables measured
    Market Size
    Description

    Discover the latest trends and insights into the booming US residential real estate market. Our comprehensive analysis reveals a steady CAGR of 2.04%, key drivers, market segmentation, and leading players. Learn about growth projections through 2033 and understand the opportunities and challenges shaping this dynamic sector. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  15. 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.

  16. w

    Albuquerque Housing Market Tracker – Weekly (SFD)

    • welcomehomeabq.com
    csv, json
    Updated Oct 31, 2025
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    Venturi Realty Group (2025). Albuquerque Housing Market Tracker – Weekly (SFD) [Dataset]. https://welcomehomeabq.com/albuquerque-housing-market-tracker/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    Venturi Realty Group
    Area covered
    Albuquerque, NM, Albuquerque
    Measurement technique
    Altos 7-day weekly index and 90-day rolling average
    Description

    Weekly Altos Research metrics: Market Action Index, inventory, pendings, prices, DOM, reductions. 7-day and 90-day readings.

  17. North America Prefabricated Housing Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Oct 24, 2025
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    Mordor Intelligence (2025). North America Prefabricated Housing Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/north-america-prefabricated-housing-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 24, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    North America
    Description

    The North America Prefabricated Housing Market Report is Segmented by Material Type (Concrete, Glass, Metal, Timber, Other Materials), by Type (Single Family, Multi Family), by Product Type (Modular Homes, Panelized & Componentized Systems, Manufactured Homes, Other Prefab Types), and by Country (United States, Canada, Mexico). The Market Forecasts are Provided in Terms of Value (USD).

  18. Housing Market Value Analysis - Urban Redevelopment Authority

    • catalog.data.gov
    • data.wprdc.org
    • +3more
    Updated Jan 24, 2023
    + more versions
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    Urban Redevelopment Authority of Pittsburgh (2023). Housing Market Value Analysis - Urban Redevelopment Authority [Dataset]. https://catalog.data.gov/dataset/housing-market-value-analysis-urban-redevelopment-authority
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Urban Redevelopment Authority of Pittsburghhttp://www.ura.org/
    Description

    In late 2016, the URA, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for the City of Pittsburgh. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional neighborhood boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. Pittsburgh’s 2016 MVA utilized data that helps to define the local real estate market between July, 2013 and June, 2016: • Median Sales Price • Variance of Sales Price • Percent Households Owner Occupied • Density of Residential Housing Units • Percent Rental with Subsidy • Foreclosures as a Percent of Sales • Permits as a Percent of Housing Units • Percent of Housing Units Built Before 1940 • Percent of Properties with Assessed Condition “Poor” or worse • Vacant Housing Units as a Percentage of Habitable Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the URA and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.

  19. 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
    Description

    Housing developers have navigated pronounced economic swings over the past five years, as borrowing environments and Federal Reserve rate policy have dictated industry growth and contraction. Early pandemic-era interest rate cuts and remote work fueled a boom in home building, especially in suburban and affordable regions, but subsequent rate hikes sharply reversed momentum. Developers enjoyed robust sales from projects initiated during the low-rate period, even as new housing starts declined under pressure from rising mortgage costs and weakening consumer demand. The struggle has been particularly acute for small and medium-sized housing developers, which continue to close their doors or merge as cost pressures mount and competition from large developers intensifies. Persistent labor shortages and escalating input costs, driven partly by tariffs, have prevented profit growth, boosting the market share and pricing power of prominent developers able to pass costs to buyers or access strategic partners. Overall, industry revenue has been increasing at a CAGR of 5.2% over the past five years to total an estimated $324.2 billion in 2025, including an estimated decrease of 0.7% in 2025. Single-family construction marked a bright spot in 2024, with leading developers like DR Horton capitalizing on demand for space and affordability. However, the pipeline for single-family projects has been hindered by high rates and tariff uncertainty that persisted throughout most of 2025. Multifamily development endured deeper contractions, particularly in 2023 and 2024, with vacancy rates and losses intensifying among even the largest developers before rebounding in 2025 as starts and demand recovered. Continued rate cuts by the Federal Reserve will set the stage for housing developers to regain growth momentum. Developers are poised to benefit from pent-up demand, housing shortages and renewed construction activity, particularly in the single-family segment, where affordability remains critical. However, rising material and labor costs will continue to pose operational challenges, leading developers to seek efficiencies or pass costs downstream. The expiration of federal green building credits in 2026 will prompt a rush to complete qualifying projects, but may curb longer-term investment in sustainable construction unless new incentives emerge. Expansions near newly announced manufacturing hubs are expanding, with developers acquiring land and prepping communities to meet workforce housing needs as the national focus on domestic manufacturing spurs regional population inflows and rising housing demand. Overall, industry revenue is forecast to climb at a CAGR of 1.8% to total an estimated $354.7 billion through the end of 2030.

  20. R

    Rental Housing Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 13, 2025
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    Data Insights Market (2025). Rental Housing Report [Dataset]. https://www.datainsightsmarket.com/reports/rental-housing-1958700
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jun 13, 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
    Global
    Variables measured
    Market Size
    Description

    Discover the booming rental housing market! Explore key trends, drivers, and challenges impacting this multi-trillion dollar industry. Learn about top players like Airbnb and Zillow, regional market share, and future growth projections to 2033. Get insights to inform your investment or business strategy.

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Atharva Soundankar (2025). 🏡 Global Housing Market Analysis (2015-2024) [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/global-housing-market-analysis-2015-2024
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🏡 Global Housing Market Analysis (2015-2024)

Understanding Housing Market Trends Across Countries

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zip(18363 bytes)Available download formats
Dataset updated
Mar 18, 2025
Authors
Atharva Soundankar
License

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

Description

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

Column NameDescription
CountryThe country where the housing market data is recorded 🌍
YearThe year of observation 📅
Average House Price ($)The average price of houses in USD 💰
Median Rental Price ($)The median monthly rent for properties in USD 🏠
Mortgage Interest Rate (%)The average mortgage interest rate percentage 📉
Household Income ($)The average annual household income in USD 🏡
Population Growth (%)The percentage increase in population over the year 👥
Urbanization Rate (%)Percentage of the population living in urban areas 🏙️
Homeownership Rate (%)The percentage of people who own their homes 🔑
GDP Growth Rate (%)The annual GDP growth percentage 📈
Unemployment Rate (%)The percentage of unemployed individuals in the labor force 💼
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