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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 Name | Description | Type |
|---|---|---|
| PropertyID | A unique identifier for each property. | text |
| PropType | The type of property (e.g., Commercial or Residential). | text |
| taxkey | The tax key associated with the property. | text |
| Address | The address of the property. | text |
| CondoProject | Information about whether the property is part of a condominium | text |
| project (NaN indicates missing data). | ||
| District | The district number for the property. | text |
| nbhd | The neighborhood number for the property. | text |
| Style | The architectural style of the property. | text |
| Extwall | The type of exterior wall material used. | text |
| Stories | The number of stories in the building. | text |
| Year_Built | The year the property was built. | text |
| Rooms | The number of rooms in the property. | text |
| FinishedSqft | The total square footage of finished space in the property. | text |
| Units | The number of units in the property | text |
| (e.g., apartments in a multifamily building). | ||
| Bdrms | The number of bedrooms in the property. | text |
| Fbath | The number of full bathrooms in the property. | text |
| Hbath | The number of half bathrooms in the property. | text |
| Lotsize | The size of the lot associated with the property. | text |
| Sale_date | The date when the property was sold. | text |
| Sale_price | The 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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Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Oct 2024 to Oct 2025 about headline figure, sales, housing, and USA.
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TwitterHome sales data aggregated by boundaries (neighborhood, zip code, city, etc) in increments of month, quarter, or year
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View monthly updates and historical trends for US Existing Home Sales. from United States. Source: National Association of Realtors. Track economic data wβ¦
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TwitterDuring 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.
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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.
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TwitterThe 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 β 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.
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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.
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.
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.
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.
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.
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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 Name | Description |
|---|---|
Country | The country where the housing market data is recorded π |
Year | The year of observation π |
Average House Price ($) | The average price of houses in USD π° |
Median Rental Price ($) | The median monthly rent for properties in USD π |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage π |
Household Income ($) | The average annual household income in USD π‘ |
Population Growth (%) | The percentage increase in population over the year π₯ |
Urbanization Rate (%) | Percentage of the population living in urban areas ποΈ |
Homeownership Rate (%) | The percentage of people who own their homes π |
GDP Growth Rate (%) | The annual GDP growth percentage π |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force πΌ |
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View monthly updates and historical trends for US Pending Home Sales Index. from United States. Source: National Association of Realtors. Track economic dβ¦
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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).
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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?
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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.
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The Sales segment was valued at USD 926.50 billion in 2019 and showed a gradual increase during the forecast period.
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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
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TwitterThe 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.
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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.
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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.
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View monthly updates and historical trends for Northeastern US Existing Home Sales. Source: National Association of Realtors. Track economic data with YChβ¦
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View monthly updates and historical trends for US Existing Home Months' Supply. from United States. Source: National Association of Realtors. Track economβ¦
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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?
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81β102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.
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TwitterThe 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.
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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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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 Name | Description | Type |
|---|---|---|
| PropertyID | A unique identifier for each property. | text |
| PropType | The type of property (e.g., Commercial or Residential). | text |
| taxkey | The tax key associated with the property. | text |
| Address | The address of the property. | text |
| CondoProject | Information about whether the property is part of a condominium | text |
| project (NaN indicates missing data). | ||
| District | The district number for the property. | text |
| nbhd | The neighborhood number for the property. | text |
| Style | The architectural style of the property. | text |
| Extwall | The type of exterior wall material used. | text |
| Stories | The number of stories in the building. | text |
| Year_Built | The year the property was built. | text |
| Rooms | The number of rooms in the property. | text |
| FinishedSqft | The total square footage of finished space in the property. | text |
| Units | The number of units in the property | text |
| (e.g., apartments in a multifamily building). | ||
| Bdrms | The number of bedrooms in the property. | text |
| Fbath | The number of full bathrooms in the property. | text |
| Hbath | The number of half bathrooms in the property. | text |
| Lotsize | The size of the lot associated with the property. | text |
| Sale_date | The date when the property was sold. | text |
| Sale_price | The 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].