100+ datasets found
  1. Forecast house price growth in the UK 2024-2028

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Forecast house price growth in the UK 2024-2028 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    United Kingdom
    Description

    Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by ***** percent. Between 2024 and 2028, the average house price growth is projected at *** percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded *** index points, meaning that since 2015 which was the base year for the index, house prices had increased by ** percent. In just two years, between 2020 and 2022, the index surged by ** index points. As the market stood in December 2023, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

  2. R

    Residential Real Estate Market in the United States Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-the-united-states-17275
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 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, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. 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.. 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.

  3. Real Estate Price Prediction Data

    • figshare.com
    txt
    Updated Aug 8, 2024
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    Mohammad Shbool; Rand Al-Dmour; Bashar Al-Shboul; Nibal Albashabsheh; Najat Almasarwah (2024). Real Estate Price Prediction Data [Dataset]. http://doi.org/10.6084/m9.figshare.26517325.v1
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    txtAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Mohammad Shbool; Rand Al-Dmour; Bashar Al-Shboul; Nibal Albashabsheh; Najat Almasarwah
    License

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

    Description

    Overview: This dataset was collected and curated to support research on predicting real estate prices using machine learning algorithms, specifically Support Vector Regression (SVR) and Gradient Boosting Machine (GBM). The dataset includes comprehensive information on residential properties, enabling the development and evaluation of predictive models for accurate and transparent real estate appraisals.Data Source: The data was sourced from Department of Lands and Survey real estate listings.Features: The dataset contains the following key attributes for each property:Area (in square meters): The total living area of the property.Floor Number: The floor on which the property is located.Location: Geographic coordinates or city/region where the property is situated.Type of Apartment: The classification of the property, such as studio, one-bedroom, two-bedroom, etc.Number of Bathrooms: The total number of bathrooms in the property.Number of Bedrooms: The total number of bedrooms in the property.Property Age (in years): The number of years since the property was constructed.Property Condition: A categorical variable indicating the condition of the property (e.g., new, good, fair, needs renovation).Proximity to Amenities: The distance to nearby amenities such as schools, hospitals, shopping centers, and public transportation.Market Price (target variable): The actual sale price or listed price of the property.Data Preprocessing:Normalization: Numeric features such as area and proximity to amenities were normalized to ensure consistency and improve model performance.Categorical Encoding: Categorical features like property condition and type of apartment were encoded using one-hot encoding or label encoding, depending on the specific model requirements.Missing Values: Missing data points were handled using appropriate imputation techniques or by excluding records with significant missing information.Usage: This dataset was utilized to train and test machine learning models, aiming to predict the market price of residential properties based on the provided attributes. The models developed using this dataset demonstrated improved accuracy and transparency over traditional appraisal methods.Dataset Availability: The dataset is available for public use under the [CC BY 4.0]. Users are encouraged to cite the related publication when using the data in their research or applications.Citation: If you use this dataset in your research, please cite the following publication:[Real Estate Decision-Making: Precision in Price Prediction through Advanced Machine Learning Algorithms].

  4. T

    United States Existing Home Sales Prices

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Existing Home Sales Prices [Dataset]. https://tradingeconomics.com/united-states/single-family-home-prices
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    xml, excel, json, csvAvailable 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, 1968 - May 31, 2025
    Area covered
    United States
    Description

    Single Family Home Prices in the United States increased to 422800 USD in May from 414000 USD in April of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. House price change forecast in Spain and Portugal 2023, with a forecast by...

    • statista.com
    Updated Feb 16, 2024
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    Statista (2024). House price change forecast in Spain and Portugal 2023, with a forecast by 2025 [Dataset]. https://www.statista.com/statistics/1165916/residential-real-estate-price-forecast-change-in-spain-and-portugal/
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    Dataset updated
    Feb 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022
    Area covered
    Spain, Portugal
    Description

    House prices in Spain are forecast to fall in 2024, after increasing by 1.2 percent in 2023. Nevertheless, prices are expected to pick up in 2025, with an increase of one percent. The Portuguese housing market, on the other hand, grew by 5.5 percent in 2023, but was forecast to contract in the next two years.

  6. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • 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.

  7. 🏑 Global Housing Market Analysis (2015-2024)

    • kaggle.com
    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
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Kaggle
    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
  8. T

    Germany House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 23, 2023
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    TRADING ECONOMICS (2023). Germany House Price Index [Dataset]. https://tradingeconomics.com/germany/housing-index
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Feb 23, 2023
    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
    Aug 31, 2005 - May 31, 2025
    Area covered
    Germany
    Description

    Housing Index in Germany increased to 218.58 points in May from 217.43 points in April of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. h

    Real-Estate-Price-Prediction

    • huggingface.co
    Updated Mar 7, 2025
    + more versions
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    Real-Estate-Price-Prediction [Dataset]. https://huggingface.co/datasets/globosetechnology12/Real-Estate-Price-Prediction
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    Dataset updated
    Mar 7, 2025
    Authors
    Globose Technology Solutions
    Description

    Problem Statement πŸ‘‰ Download the case studies here Investors and buyers in the real estate market faced challenges in accurately assessing property values and market trends. Traditional valuation methods were time-consuming and lacked precision, making it difficult to make informed investment decisions. A real estate firm sought a predictive analytics solution to provide accurate property price forecasts and market insights. Challenge Developing a real estate price prediction system involved… See the full description on the dataset page: https://huggingface.co/datasets/globosetechnology12/Real-Estate-Price-Prediction.

  10. T

    China Newly Built House Prices YoY Change

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 19, 2025
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    TRADING ECONOMICS (2025). China Newly Built House Prices YoY Change [Dataset]. https://tradingeconomics.com/china/housing-index
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2011 - May 31, 2025
    Area covered
    China
    Description

    Housing Index in China decreased by 3.50 percent in May from -4 percent in April of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. T

    Italy House Price Index

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 8, 2025
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    TRADING ECONOMICS (2025). Italy House Price Index [Dataset]. https://tradingeconomics.com/italy/housing-index
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2010 - Dec 31, 2024
    Area covered
    Italy
    Description

    Housing Index in Italy increased to 113.60 points in the fourth quarter of 2024 from 112.80 points in the third quarter of 2024. This dataset provides - Italy House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. Five-year forecast of house price growth in the UK 2024-2028, by region

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Five-year forecast of house price growth in the UK 2024-2028, by region [Dataset]. https://www.statista.com/statistics/975951/united-kingdom-five-year-forecast-house-price-growth-by-region/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    United Kingdom
    Description

    According to the forecast, the North East and Wales are the regions in the United Kingdom estimated to see the highest overall growth in house prices over the five-year period between 2024 and 2028. Just behind are North West, Yorkshire & the Humber, and Scotland, which are forecast to see house prices increase by **** percent over the five-year period. In London, house prices are expected to rise by **** percent.

  13. T

    United States S&P Case-Shiller 20-City Composite Home Price Index

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States S&P Case-Shiller 20-City Composite Home Price Index [Dataset]. https://tradingeconomics.com/united-states/case-shiller-home-price-index
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2000 - Apr 30, 2025
    Area covered
    United States
    Description

    Case Shiller Home Price Index in the United States increased to 341.48 points in April from 338.39 points in March of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. Residential real estate price forecast change in Norway 2022-2025

    • statista.com
    Updated Feb 28, 2024
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    Statista (2024). Residential real estate price forecast change in Norway 2022-2025 [Dataset]. https://www.statista.com/statistics/1174950/residential-real-estate-price-forecast-change-in-norway/
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    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Norway
    Description

    House prices in Norway fell by 1.4 percent and, according to the forecast, are expected to continue to fall until 2024. In 2023, properties were forecast to experience a decline in prices of 12 percent. In 2025, growth is projected to recover, rising to five percent.

  15. Real Estate Market Size and Share | Statistics – 2030

    • nextmsc.com
    csv, pdf
    Updated Jun 2025
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    Supradip Baul (2025). Real Estate Market Size and Share | Statistics – 2030 [Dataset]. https://www.nextmsc.com/report/real-estate-market
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    pdf, csvAvailable download formats
    Dataset updated
    Jun 2025
    Dataset provided by
    Next Move Strategy Consulting
    Authors
    Supradip Baul
    License

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

    Time period covered
    2023 - 2030
    Area covered
    Global
    Description

    Real Estate Market was valued at USD 9.8 trillion in 2023, and is slated to reach USD 14.54 trillion by 2030, due to the growing urbanization worldwide.

  16. T

    Belgium House Price Index

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Belgium House Price Index [Dataset]. https://tradingeconomics.com/belgium/housing-index
    Explore at:
    csv, json, excel, xmlAvailable 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
    Mar 31, 2005 - Dec 31, 2024
    Area covered
    Belgium
    Description

    Housing Index in Belgium increased to 142.24 points in the fourth quarter of 2024 from 141.16 points in the third quarter of 2024. This dataset provides - Belgium Housing Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. Residential real estate price forecast change in Denmark 2021-2024

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). Residential real estate price forecast change in Denmark 2021-2024 [Dataset]. https://www.statista.com/statistics/1165931/residential-real-estate-price-forecast-change-in-denmark/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Denmark
    Description

    The average house price in Denmark increased sharply in 2021, but growth slowed down to approximately one percent in 2022. According to the forecast, 2023 is going to see house prices fall by almost nine percent. In 2024, house prices are expected to decrease further by about 3.6 percent. As of 2021, the average sales price of single family homes in Denmark amounted to over 2.6 Danish kroner.

  18. Austria House Prices Growth

    • ceicdata.com
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    CEICdata.com, Austria House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/austria/house-prices-growth
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Austria
    Description

    Key information about House Prices Growth

    • Austria house prices dropped 2.1% YoY in Dec 2024, following a decrease of 3.5% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Sep 1987 to Dec 2024, with an average growth rate of 4.1%.
    • House price data reached an all-time high of 33.4% in Sep 1988 and a record low of -6.4% in Dec 2001.

    CEIC calculates quarterly House Prices Growth from quarterly House Price Index. Oesterreichische Nationalbank provides House Price Index with base 2000=100. 3.. House Prices Growth covers Vienna only.

  19. Real Estate Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Real Estate Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-real-estate-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Estate Market Outlook



    The global real estate market size was valued at approximately USD 10 trillion in 2023 and is projected to reach around USD 15 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5%. The primary growth factor driving this market is the increasing urbanization and the growing need for residential and commercial spaces. Rapid urbanization, economic development, and increasing investments in infrastructure are contributing to this growth.



    Urbanization is a key driver for the real estate market. As urban areas expand, there is a heightened demand for residential, commercial, and industrial properties. This trend is particularly noticeable in emerging economies where migration from rural to urban areas is accelerating. In addition to providing housing, urbanization necessitates the development of commercial and industrial spaces to support economic activities and provide employment opportunities. This cycle of development and demand continues to fuel the real estate market globally.



    Furthermore, economic development plays a crucial role in the growth of the real estate market. As countries develop economically, there is an increase in disposable incomes, which in turn drives demand for better housing and commercial facilities. This economic growth often leads to increased investments from both domestic and international investors, further boosting the real estate market. The development of infrastructure such as roads, bridges, and public facilities also supports the growth of the real estate sector by making locations more accessible and attractive for development.



    The growth of the real estate market is also supported by government initiatives and policies aimed at promoting housing and infrastructure development. Many governments around the world offer incentives such as tax benefits, subsidies, and relaxed regulations to encourage investment in the real estate sector. These policies not only stimulate the construction of new properties but also help in the renovation and improvement of existing structures. Additionally, the introduction of smart cities and sustainable development projects is creating new opportunities within the real estate market.



    Real Estate Services play a pivotal role in the expansion and management of the real estate market. These services encompass a wide range of activities including property management, brokerage, appraisal, and consulting. They are essential for facilitating transactions, ensuring compliance with regulations, and maximizing the value of real estate assets. As the market grows, the demand for specialized real estate services increases, providing opportunities for companies to offer tailored solutions that meet the diverse needs of property owners, investors, and tenants. The integration of technology into real estate services is also transforming the industry, enabling more efficient and transparent processes.



    Regionally, the real estate market is experiencing varied growth patterns. For instance, Asia Pacific is witnessing rapid growth due to its expanding population and increasing urbanization. North America and Europe, on the other hand, are seeing steady growth driven by economic stability and significant investments in technology and sustainability. Meanwhile, regions like Latin America and the Middle East & Africa are slowly catching up, with increasing investments in infrastructure and real estate developments. These regional dynamics play a crucial role in shaping the overall growth trajectory of the global real estate market.



    Property Type Analysis



    The real estate market is segmented by property type into residential, commercial, industrial, and land. The residential segment is one of the most significant contributors to the market, driven by the increasing population and the growing need for housing. With urbanization on the rise, there is a continuous demand for new residential properties. This segment includes single-family homes, multi-family units, condominiums, and apartments. The trend towards nuclear families and the demand for better living standards are also contributing to the growth of the residential real estate segment.



    Commercial real estate is another critical segment within the market, encompassing office spaces, retail centers, hotels, and other commercial establishments. The growth of the commercial real estate segment is closely linked to economic development, as businesses requir

  20. Portugal House Prices Growth

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). Portugal House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/portugal/house-prices-growth
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEIC Data
    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, 2021 - Sep 1, 2024
    Area covered
    Portugal
    Description

    Key information about House Prices Growth

    • Portugal house prices grew 9.8% YoY in Sep 2024, following an increase of 7.8% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 2010 to Sep 2024, with an average growth rate of 7.6%.
    • House price data reached an all-time high of 13.2% in Jun 2022 and a record low of -8.3% in Jun 2012.

    CEIC calculates quarterly House Prices Growth from quarterly House Prices Index. Statistics Portugal provides House Prices Index with base 2015=100.

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Statista (2025). Forecast house price growth in the UK 2024-2028 [Dataset]. https://www.statista.com/statistics/376079/uk-house-prices-forecast/
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Forecast house price growth in the UK 2024-2028

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Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2023
Area covered
United Kingdom
Description

Just as in many other countries, the housing market in the UK grew substantially during the coronavirus pandemic, fueled by robust demand and low borrowing costs. Nevertheless, high inflation and the increase in mortgage rates has led to house price growth slowing down. According to the forecast, 2024 is expected to see house prices decrease by ***** percent. Between 2024 and 2028, the average house price growth is projected at *** percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded *** index points, meaning that since 2015 which was the base year for the index, house prices had increased by ** percent. In just two years, between 2020 and 2022, the index surged by ** index points. As the market stood in December 2023, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next years. Growth is forecast to be stronger in 2024 and slow down in the period between 2025 and 2028. The rental market in London is expected to follow a similar trend, with Central London slightly outperforming Greater London.

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