100+ datasets found
  1. Property Sales Data: Exploring Real Estate Trends

    • kaggle.com
    zip
    Updated Mar 1, 2024
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    Agung Pambudi (2024). Property Sales Data: Exploring Real Estate Trends [Dataset]. https://www.kaggle.com/datasets/agungpambudi/property-sales-data-real-estate-trends
    Explore at:
    zip(4689412 bytes)Available download formats
    Dataset updated
    Mar 1, 2024
    Authors
    Agung Pambudi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains property sales data, including information such as PropertyID, property type (e.g., Commercial or Residential), tax keys, property addresses, architectural styles, exterior wall materials, number of stories, year built, room counts, finished square footage, units (e.g., apartments), bedroom and bathroom counts, lot sizes, sale dates, and sale prices. Explore this dataset to gain insights into real estate trends and property characteristics.

    Field NameDescriptionType
    PropertyIDA unique identifier for each property.text
    PropTypeThe type of property (e.g., Commercial or Residential).text
    taxkeyThe tax key associated with the property.text
    AddressThe address of the property.text
    CondoProjectInformation about whether the property is part of a condominiumtext
    project (NaN indicates missing data).
    DistrictThe district number for the property.text
    nbhdThe neighborhood number for the property.text
    StyleThe architectural style of the property.text
    ExtwallThe type of exterior wall material used.text
    StoriesThe number of stories in the building.text
    Year_BuiltThe year the property was built.text
    RoomsThe number of rooms in the property.text
    FinishedSqftThe total square footage of finished space in the property.text
    UnitsThe number of units in the propertytext
    (e.g., apartments in a multifamily building).
    BdrmsThe number of bedrooms in the property.text
    FbathThe number of full bathrooms in the property.text
    HbathThe number of half bathrooms in the property.text
    LotsizeThe size of the lot associated with the property.text
    Sale_dateThe date when the property was sold.text
    Sale_priceThe sale price of the property.text




    Data.milwaukee.gov, (2023). Property Sales Data. [online] Available at: https://data.milwaukee.gov [Accessed 9th October 2023].

    Open Definition. (n.d.). Creative Commons Attribution 4.0 International Public License (CC BY 4.0). [online] Available at: http://www.opendefinition.org/licenses/cc-by [Accessed 9th October 2023].

  2. F

    Data from: Existing Home Sales

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). Existing Home Sales [Dataset]. https://fred.stlouisfed.org/series/EXHOSLUSM495S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Oct 2024 to Oct 2025 about headline figure, sales, housing, and USA.

  3. a

    Home Sales Trends in the United States

    • attomdata.com
    attom api +4
    Updated Oct 3, 2018
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    ATTOM Data Solutions (2018). Home Sales Trends in the United States [Dataset]. https://www.attomdata.com/data/real-estate-market-analytics/sales-trend/
    Explore at:
    attom api, neighborhood navigator, excel, attom cloud, csvAvailable download formats
    Dataset updated
    Oct 3, 2018
    Dataset authored and provided by
    ATTOM Data Solutions
    Description

    Home sales data aggregated by boundaries (neighborhood, zip code, city, etc) in increments of month, quarter, or year

  4. y

    US Existing Home Sales

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

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

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

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

  5. Number of house sales in the UK 2005-2025, by month

    • statista.com
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    Statista, Number of house sales in the UK 2005-2025, by month [Dataset]. https://www.statista.com/statistics/290623/uk-housing-market-monthly-sales-volumes/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2005 - Apr 2025
    Area covered
    United Kingdom
    Description

    During the COVID-19 pandemic, the number of house sales in the UK spiked, followed by a period of decline. In 2023 and 2024, the housing market slowed notably, and in January 2025, transaction volumes fell to 46,774. House sales volumes are impacted by a number of factors, including mortgage rates, house prices, supply, demand, as well as the overall health of the market. The economic uncertainty and rising unemployment rates has also affected the homebuyer sentiment of Brits. How have UK house prices developed over the past 10 years? House prices in the UK have increased year-on-year since 2015, except for a brief period of decline in the second half of 2023 and the beginning of 2024. That is based on the 12-month percentage change of the UK house price index. At the peak of the housing boom in 2022, prices soared by nearly 14 percent. The decline that followed was mild, at under three percent. The cooling in the market was more pronounced in England and Wales, where the average house price declined in 2023. Conversely, growth in Scotland and Northern Ireland continued. What is the impact of mortgage rates on house sales? For a long period, mortgage rates were at record-low, allowing prospective homebuyers to take out a 10-year loan at a mortgage rate of less than three percent. In the last quarter of 2021, this period came to an end as the Bank of England rose the bank lending rate to contain the spike in inflation. Naturally, the higher borrowing costs affected consumer sentiment, urging many homebuyers to place their plans on hold and leading to a decline in sales.

  6. 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.

  7. Number of new homes sold in the U.S. 2000-2024 with a forecast until 2026

    • statista.com
    Updated Sep 8, 2025
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    Statista (2025). Number of new homes sold in the U.S. 2000-2024 with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/219963/number-of-us-house-sales/
    Explore at:
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of new houses sold in the United States took a big hit during the financial crisis, dropping from a high of around *** million houses sold in 2005 to a low of *** thousand homes sold in 2011 – around a ** percent decrease. While the economy has largely recovered since the crisis, consumers remained hesitant when it comes to buying homes. In 2020, demand for housing surged and house sales volumes spiked to *******. Housing construction remains suppressed One of the main challenges in the U.S. housing market is the insufficient number of new homes built. During the financial crisis, construction slowed dramatically, and has still struggled to recover. Construction costs, on the other hand, have risen notably, making homeownership increasingly pricier. House prices on the rise Unsurprisingly, the median sales price of new homes has risen substantially. In 2024, the U.S. Case Shiller National Home Price Index, reached *** index points, suggesting the price of a home tripled since 2000, the base year of the index.

  8. Real Estate Data Chicago 2024

    • kaggle.com
    zip
    Updated May 10, 2024
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    Kanchana1990 (2024). Real Estate Data Chicago 2024 [Dataset]. https://www.kaggle.com/datasets/kanchana1990/real-estate-data-chicago-2024
    Explore at:
    zip(749787 bytes)Available download formats
    Dataset updated
    May 10, 2024
    Authors
    Kanchana1990
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    Chicago
    Description

    Dataset Overview

    This dataset comprises detailed real estate listings scraped from Realtor.com, providing a snapshot of various property types across Chicago. It includes 2,000 entries with information on property characteristics such as type, size, age, price, and features. This dataset was ethically collected using an API provided by Apify, ensuring all data scraping adhered to ethical standards.

    Data Science Applications

    This dataset is ideal for a variety of data science applications, including but not limited to: - Predictive Modeling: Forecast property prices based on various features like location, size, and age. - Market Analysis: Understand trends in real estate, including the types of properties being sold, pricing trends, and the influence of property features on market value. - Natural Language Processing: Analyze the textual descriptions provided for each listing to extract additional features or perform sentiment analysis. - Anomaly Detection: Identify unusual listings or potential outliers in the data, which could indicate errors in data collection or unique investment opportunities.

    Column Descriptors

    1. type: The type of property (e.g., single-family home, condo).
    2. text: A textual description of the property.
    3. year_built: The year in which the property was constructed.
    4. beds: The number of bedrooms.
    5. baths: Total number of bathrooms (including full and half).
    6. baths_full: Number of full bathrooms.
    7. baths_half: Number of half bathrooms.
    8. garage: Garage capacity (number of cars).
    9. lot_sqft: Size of the lot in square feet.
    10. sqft: Living area size in square feet.
    11. stories: Number of stories/floors in the property.
    12. lastSoldPrice: The price at which the property was last sold.
    13. soldOn: The date on which the property was last sold.
    14. listPrice: The listing price of the property at the time of data collection.
    15. status: The current status of the listing (e.g., for sale, sold).

    Ethically Mined Data

    This dataset was responsibly and ethically mined, adhering to all legal standards of data collection. The use of Apify's API ensures that the data collection process respects privacy and the platform's terms of service.

    Acknowledgements

    We thank Realtor.com for maintaining a comprehensive and accessible database, and Apify for providing the tools necessary for ethical data scraping. Their contributions have been invaluable in the creation of this dataset. Credits to Dall E3 for thumbnail image.

    Usage Policy

    This dataset is provided for non-commercial and educational purposes only. Users are encouraged to use this data to enhance learning, contribute to academic or personal projects, and develop skills in data science and real estate market analysis.

  9. 🏑 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.

    πŸ“‘ Column Descriptions

    Column NameDescription
    CountryThe country where the housing market data is recorded 🌍
    YearThe year of observation πŸ“…
    Average House Price ($)The average price of houses in USD πŸ’°
    Median Rental Price ($)The median monthly rent for properties in USD 🏠
    Mortgage Interest Rate (%)The average mortgage interest rate percentage πŸ“‰
    Household Income ($)The average annual household income in USD 🏑
    Population Growth (%)The percentage increase in population over the year πŸ‘₯
    Urbanization Rate (%)Percentage of the population living in urban areas πŸ™οΈ
    Homeownership Rate (%)The percentage of people who own their homes πŸ”‘
    GDP Growth Rate (%)The annual GDP growth percentage πŸ“ˆ
    Unemployment Rate (%)The percentage of unemployed individuals in the labor force πŸ’Ό
  10. y

    US Pending Home Sales Index

    • ycharts.com
    html
    Updated Oct 31, 2025
    + more versions
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    National Association of Realtors (2025). US Pending Home Sales Index [Dataset]. https://ycharts.com/indicators/us_pending_home_sales_index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset provided by
    YCharts
    Authors
    National Association of Realtors
    License

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

    Time period covered
    Jul 31, 2010 - Sep 30, 2025
    Area covered
    United States
    Variables measured
    US Pending Home Sales Index
    Description

    View monthly updates and historical trends for US Pending Home Sales Index. from United States. Source: National Association of Realtors. Track economic d…

  11. Germany Residential Real Estate Market Size and Trends Analysis 2025 - 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Nov 8, 2025
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    Mordor Intelligence (2025). Germany Residential Real Estate Market Size and Trends Analysis 2025 - 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/residential-real-estate-market-in-germany
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Nov 8, 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
    Germany
    Description

    The Germany Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Business Model (Sales and Rental), Mode of Sale (Primary and Secondary), and Key Cities (Berlin, Hamburg, Munich, Cologne, Frankfurt, Dusseldorf, Leipzig and Rest of Germany). The Market Forecasts are Provided in Terms of Value (USD).

  12. 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
    Mexico, Germany, France, North America, Canada, United States, Brazil, Japan, United Kingdom, Europe
    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

  13. Sales price of existing single-family houses in the U.S. 2000-2024

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Sales price of existing single-family houses in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/184857/sales-price-of-existing-single-family-homes-in-the-us-since-2000/
    Explore at:
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. housing market has seen significant price growth since 2011, with the median sales price of existing single-family homes reaching a record high of ******* U.S. dollars in 2024. This represents a substantial increase of ******* over the past five years, highlighting the rapid appreciation of home values across the country. The trend of rising prices can also be observed in the new homes sold. Regional variations and housing shortage While the national median price provides a broad overview, regional differences in home prices are notable. The West remains the most expensive region, with prices twice higher than in the more affordable Midwest. This disparity persists despite efforts to increase housing supply. In 2024, approximately ******* building permits for single-family housing units were granted, showing a slight increase from previous years but still well below the 2005 peak of **** million permits. The ongoing housing shortage continues to drive prices upward across all regions. Market dynamics and future outlook The number of existing home sales has plummeted since 2020, reflecting the growing cost of homeownership. Factors such as high home prices, unfavorable economic conditions, and aggressive increases in mortgage rates have contributed to affordability challenges for many potential homebuyers. Despite these challenges, forecasts suggest a potential recovery in the housing market by 2025, though transaction volumes are expected to remain below long-term averages.

  14. T

    Ireland Existing Home Sales

    • trendonify.com
    csv
    Updated Sep 30, 2025
    + more versions
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    Trendonify (2025). Ireland Existing Home Sales [Dataset]. https://trendonify.com/ireland/existing-home-sales
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Trendonify
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 31, 2015 - Sep 30, 2025
    Area covered
    Ireland
    Description

    Monthly dataset of the Ireland Existing Home Sales, including historical data, latest releases, and long-term trends from 2015-08-31 to 2025-09-30. Available for free download in CSV format.

  15. T

    Ireland Existing Home Sales

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Ireland Existing Home Sales [Dataset]. https://tradingeconomics.com/ireland/existing-home-sales
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 2010 - Sep 30, 2025
    Area covered
    Ireland
    Description

    Existing Home Sales in Ireland increased to 3574 Units in September from 3201 Units in August of 2025. This dataset provides - Ireland Existing Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. y

    Northeastern US Existing Home Sales

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

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

    Time period covered
    Jan 31, 1999 - Sep 30, 2025
    Variables measured
    Northeastern US Existing Home Sales
    Description

    View monthly updates and historical trends for Northeastern US Existing Home Sales. Source: National Association of Realtors. Track economic data with YCh…

  17. y

    US Existing Home Months' Supply

    • ycharts.com
    html
    Updated Oct 23, 2025
    + more versions
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    National Association of Realtors (2025). US Existing Home Months' Supply [Dataset]. https://ycharts.com/indicators/us_existing_home_months_supply
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    YCharts
    Authors
    National Association of Realtors
    License

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

    Time period covered
    Jan 31, 1999 - Sep 30, 2025
    Area covered
    United States
    Variables measured
    US Existing Home Months' Supply
    Description

    View monthly updates and historical trends for US Existing Home Months' Supply. from United States. Source: National Association of Realtors. Track econom…

  18. 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.
  19. Number of new home sales in the U.S. 2000-2024, by financing type

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Number of new home sales in the U.S. 2000-2024, by financing type [Dataset]. https://www.statista.com/statistics/185206/us-house-sales-with-fha-and-va-insured-mortgages-from-2002/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of new homes sold increased in 2024, but remained below the levels observed during the 2020-2021 housing boom. Conventional loans are the most popular financing option, accounting for 513,000 of the 686,000 home purchases in 2024. Despite comprising a small share of sales, cash purchases have risen notably over the past five years. This can be explained by the dramatic increase in mortgage interest rates, which makes cash purchases more attractive for those who can afford them. Development of house prices The U.S. housing market is suffering a supply shortage, which has contributed to a substantial increase in house prices. Over the past five years, construction costs risen notably, pushing the price of newly built homes up. Meanwhile, income growth has failed to keep up, resulting in a worsening housing affordability. According to the house price to income index, home prices outgrew income by nearly 32 percent between 2015 and 2024. Is the U.S. housing stock growing? There were approximately 187 million housing units in the U.S. in 2024, indicating an increase of one percent over the previous year. Apart from new-single family housing, the number of newly built multifamily units has also risen notably. Multifamily allows construction in denser urban areas with overheated housing markets, earning it increasing popularity among investors.

  20. T

    Spain Existing Home Sales

    • trendonify.com
    csv
    Updated Sep 30, 2025
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    Trendonify (2025). Spain Existing Home Sales [Dataset]. https://trendonify.com/spain/existing-home-sales
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    csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Trendonify
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 31, 2015 - Sep 30, 2025
    Area covered
    Spain
    Description

    Monthly dataset of the Spain Existing Home Sales, including historical data, latest releases, and long-term trends from 2015-07-31 to 2025-09-30. Available for free download in CSV format.

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Agung Pambudi (2024). Property Sales Data: Exploring Real Estate Trends [Dataset]. https://www.kaggle.com/datasets/agungpambudi/property-sales-data-real-estate-trends
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Property Sales Data: Exploring Real Estate Trends

Property sales data from 2002-2022 with details on type, location, and style.

Explore at:
zip(4689412 bytes)Available download formats
Dataset updated
Mar 1, 2024
Authors
Agung Pambudi
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset contains property sales data, including information such as PropertyID, property type (e.g., Commercial or Residential), tax keys, property addresses, architectural styles, exterior wall materials, number of stories, year built, room counts, finished square footage, units (e.g., apartments), bedroom and bathroom counts, lot sizes, sale dates, and sale prices. Explore this dataset to gain insights into real estate trends and property characteristics.

Field NameDescriptionType
PropertyIDA unique identifier for each property.text
PropTypeThe type of property (e.g., Commercial or Residential).text
taxkeyThe tax key associated with the property.text
AddressThe address of the property.text
CondoProjectInformation about whether the property is part of a condominiumtext
project (NaN indicates missing data).
DistrictThe district number for the property.text
nbhdThe neighborhood number for the property.text
StyleThe architectural style of the property.text
ExtwallThe type of exterior wall material used.text
StoriesThe number of stories in the building.text
Year_BuiltThe year the property was built.text
RoomsThe number of rooms in the property.text
FinishedSqftThe total square footage of finished space in the property.text
UnitsThe number of units in the propertytext
(e.g., apartments in a multifamily building).
BdrmsThe number of bedrooms in the property.text
FbathThe number of full bathrooms in the property.text
HbathThe number of half bathrooms in the property.text
LotsizeThe size of the lot associated with the property.text
Sale_dateThe date when the property was sold.text
Sale_priceThe sale price of the property.text




Data.milwaukee.gov, (2023). Property Sales Data. [online] Available at: https://data.milwaukee.gov [Accessed 9th October 2023].

Open Definition. (n.d.). Creative Commons Attribution 4.0 International Public License (CC BY 4.0). [online] Available at: http://www.opendefinition.org/licenses/cc-by [Accessed 9th October 2023].

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