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 three percent. Between 2024 and 2028, the average house price growth is projected at 2.7 percent. A contraction after a period of continuous growth In June 2022, the UK's house price index exceeded 150 index points, meaning that since 2015 which was the base year for the index, house prices had increased by 50 percent. In just two years, between 2020 and 2022, the index surged by 30 index points. As the market stood in December 2023, the average price for a home stood at approximately 284,691 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.

Context

This is a set of data created from imaginary data of house prices in an urban environment - Paris. I recommend using this dataset for educational purposes, for practice and to acquire the necessary knowledge. What I'm trying to do next is to create a classification dataset with same data from this dataset, I'll add a new column for class attribute ofc. Here is a classification dataset ---> classification dataset <---

Content

What's inside is more than just rows and columns. You can see house details listed as column names.

Description

All attributes are numeric variables and they are listed bellow:

• squareMeters
• numberOfRooms
• hasYard
• hasPool
• floors - number of floors
• cityCode - zip code
• cityPartRange - the higher the range, the more exclusive the neighbourhood is
• numPrevOwners - number of prevoious owners
• made - year
• isNewBuilt
• hasStormProtector
• basement - basement square meters
• attic - attic square meteres
• garage - garage size
• hasStorageRoom
• hasGuestRoom - number of guest rooms
• price - predicted value

Inspiration

Idea was to create dataset that is good for regression and that gives adequate results.

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].

Problem Statement

👉 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 addressing the following challenges:

Collecting and processing vast amounts of data, including historical property prices, economic indicators, and location-specific factors.

Accounting for diverse variables such as neighborhood quality, proximity to amenities, and market demand.

Ensuring the model’s adaptability to changing market conditions and economic fluctuations.

Solution Provided

A real estate price prediction system was developed using machine learning regression models and big data analytics. The solution was designed to:

Analyze historical and real-time data to predict property prices accurately.

Provide actionable insights on market trends, enabling better investment strategies.

Identify undervalued properties and potential growth areas for investors.

Development Steps

Data Collection

Collected extensive datasets, including property listings, sales records, demographic data, and economic indicators.

Preprocessing

Cleaned and structured data, removing inconsistencies and normalizing variables such as location, property type, and size.

Model Development

Built regression models using techniques such as linear regression, decision trees, and gradient boosting to predict property prices. Integrated feature engineering to account for location-specific factors, amenities, and market trends.

Validation

Tested the models using historical data and cross-validation to ensure high prediction accuracy and robustness.

Deployment

Implemented the prediction system as a web-based platform, allowing users to input property details and receive price estimates and market insights.

Continuous Monitoring & Improvement

Established a feedback loop to update models with new data and refine predictions as market conditions evolved.

Results

Increased Prediction Accuracy

The system delivered highly accurate property price forecasts, improving investor confidence and decision-making.

Informed Investment Decisions

Investors and buyers gained valuable insights into market trends and property values, enabling better strategies and reduced risks.

Enhanced Market Insights

The platform provided detailed analytics on neighborhood trends, demand patterns, and growth potential, helping users identify opportunities.

Scalable Solution

The system scaled seamlessly to include new locations, property types, and market dynamics.

Improved User Experience

The intuitive platform design made it easy for users to access predictions and insights, boosting engagement and satisfaction.

The Residential Real Estate Market Report is Segmented by Type (apartments and Condominiums and Landed Houses and Villas) and Geography (North America, Europe, Asia-Pacific, the Middle East and Africa, Latin America, and the Rest of the World). The Report Offers Market Sizes and Forecasts for the Residential Real Estate Market in USD for all the Above Segments.

Nahb Housing Market Index in the United States decreased to 39 points in March from 42 points in February of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Sep 2024, following an increase of 6.2% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Sep 2024, with an average growth rate of 5.5%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

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.

Snapshot img

Real Estate Market Size 2025-2029

The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.

The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.

What will be the Size of the Real Estate Market During the Forecast Period?

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The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.

How is this Real Estate Industry segmented and which is the largest segment?

The 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.

Type

  Residential
  Commercial
  Industrial


Business Segment

  Rental
  Sales


Manufacturing Type

  New construction
  Renovation and redevelopment
  Land development


Geography

  APAC

    China
    India
    Japan
    South Korea


  North America

    Canada
    US


  Europe

    Germany
    UK


  South America

    Brazil


  Middle East and Africa

By Type Insights

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

The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.

Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.

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The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 64% 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.

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The Asia Pacific region holds the largest share of The market, dr

The report covers Residential Real Estate Market in USA and is Segmented by Property Type (Apartments and Condominiums, Landed Houses and Villas). The report offers market size and forecasts for the residential real estate market in the United States in value (USD billion) for all the above segments.

Snapshot img

Residential Real Estate Market Size 2024-2028

The residential real estate market size is forecast to increase by USD 482.1 billion at a CAGR of 4.6% between 2023 and 2028.

The market is experiencing significant growth, driven by increasing demand from a growing population and urbanization trends. This demand is further fueled by marketing initiatives from real estate developers and agents, who are leveraging digital platforms and creative campaigns to attract buyers. However, regulatory uncertainty poses a challenge to market growth, with varying regulations and policies in different regions impacting investment decisions. For companies seeking to capitalize on market opportunities, it is essential to stay informed of regulatory changes and adapt strategies accordingly. Additionally, collaboration with local experts and partnerships with regulatory bodies can help navigate complex regulatory landscapes and ensure compliance. Overall, the market presents significant opportunities for growth, but requires a strategic approach to address regulatory challenges and effectively target demand. Companies that can navigate these challenges and adapt to local market conditions will be well-positioned to succeed in this dynamic market.

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

Request Free SampleThe market continues to exhibit activity, driven by strong economic fundamentals and population growth. In nominal terms, the market size reached an all-time high in the latest fiscal year, with discerning buyers demonstrating continued interest in spacious accommodations. However, macroeconomic headwinds, such as rising interest rates and inflation, pose challenges for some potential homebuyers. Economic factors, including GDP per capita and purchasing power, remain essential support for the housing market. Despite these conditions, property launches in the luxury residential sector have shown resilience, catering to the demand for high-end living spaces. Residential construction remains a critical component of the market, with new housing units being added to meet the growing demand for homes. Overall, the market is expected to remain a significant contributor to the economy, offering opportunities for both investors and homebuyers.

How is this Residential Real Estate Industry segmented?

The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. Mode Of BookingSalesRental/LeaseTypeApartments and condominiumsLanded houses and villasGeographyAPACChinaJapanNorth AmericaUSEuropeGermanyUKSouth AmericaMiddle East and Africa

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 896.60 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 54% 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.

For more insights on the market size of various regions, Request Free Sample

The market in the Asia Pacific (APAC) region held the largest market share in 2023 and is anticipated to continue leading the market growth during the forecast period. Key drivers of this expansion include population growth and increasing purchasing power, leading to a in demand for spacious accommodations. Rapid urbanization and economic fundamentals, such as GDP per capita, have fueled the construction of new housing units, particularly in countries like India and China. Furthermore, domestic demand and foreign homebuyers have contributed to the unsold inventory overhang, creating investment opportunities in underconstruction properties. Despite these positive indicators, challenges persist, including affordability concerns and critical input costs. In the context of the US housing market, the residential real estate sector offers investment opportunities through traditional options, such as home ownership and rental cash flow, as well as low-risk methods, like investment portfolios. Key economic factors, such as interest rates and supply metrics, impact residential property prices, which may vary in real and nominal terms. The market is also influenced by changing consumer preferences, regulatory reforms, and technological transformation, including home automation and cutting-edge strategies.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holi

According to the forecast, the UK regional prime property real estate market is to increase by almost 14 percent by 2028. In 2024, prime property prices are expected to fall by two percent. In the following four years, growth will recover.

The size and share of the market is categorized based on Application (Residential, Commercial) and Product (Single Section Homes, Multi-Section Homes, Market) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Housing Index in the United States increased to 436.50 points in January from 435.80 points in December of 2024. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Turkey, Russia, and Mexico were the countries with the highest forecast annualized growth of residential real estate transactions until 2028. According to a 2023 forecast by Statista Market Insights, the value of residential sales in Russia will rise by about 14 percent annually between 2023 and 2028. In the U.S. - the largest housing market - the growth rate is expected to be much lower at 2.65 percent.

The Residential Real Estate Market, valued at USD 59194.55 million in 2025, is anticipated to grow at a CAGR of 25.20% during the forecast period (2025-2033), reaching a value of USD 302911.44 million by 2033. Rapid urbanization, rising disposable income, and increasing population are some key factors driving the market's growth. The market is expected to witness a surge in demand for affordable and luxury housing options due to the growing middle class and affluent population in emerging economies. Regional insights indicate that Asia Pacific dominated the market with a share of 41.2% in 2025, owing to strong economic growth in countries like China, India, and Japan. North America and Europe are other prominent regions, contributing significantly to the market's revenue. However, the Middle East & Africa and South America are expected to experience substantial growth in the coming years, driven by government initiatives to promote homeownership and the development of new residential projects. With a dynamic and ever-evolving landscape, the residential real estate market is a significant driver of economic growth and stability worldwide. This report provides an in-depth analysis of the market, highlighting key trends, challenges, and growth opportunities. Recent developments include: May 2023 KKR's European real estate platform acquired a portfolio of 30 residential properties. This acquisition marks KKR's first investment in the Nordic region through its European Core Plus Real Estate strategy and reflects its focus on the growing residential market in Europe., January 2023 Blackstone completed its acquisition of Home Partners of America, a leading single-family rental (SFR) platform, for $6 billion. This acquisition significantly expands Blackstone's presence in the SFR market, which is expected to be a major growth driver in the US residential real estate sector., December 2022 Independence Realty Trust acquired Steadfast Apartment REIT for $4 billion. This acquisition further consolidates the apartment REIT sector and creates a larger platform with a more diversified portfolio.. Notable trends are: Population growth is driving the market growth.

The global real estate market size was valued at USD 7,384.14 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 8,690.66 Billion by 2033, exhibiting a CAGR of 1.81% from 2025-2033. North America currently dominates the market in 2024, holding a significant market share of 33.4%. The market is experiencing steady growth driven by rapid urbanization, low interest rates, changing lifestyle trends, e-commerce growth, inflating disposable incomes of individuals, infrastructure development and improvements, remote work, demographic shifts, and favorable government policies.

IMARC Group provides an analysis of the key trends in each segment of the global real estate market, along with forecasts at the global, regional, and country levels from 2025-2033. The market has been categorized based on property, business, and mode.

The China Residential Real Estate Market Report is Segmented by Type (Villas and Landed Houses, Apartments and Condominiums) and by City (Shenzhen, Beijing, Shanghai, Hangzhou, Guangzhou, and Other Cities). The Report Offers the Market Sizes and Forecasts for the China Residential Real Estate Market in Value (USD) for all the Above Segments.

The Report Covers US Office Real Estate Sector Outlook & Industry Trends and it is segmented by region (northeast, Midwest, south, and west) and by sector (information technology (it and Ites), manufacturing, bfsi (banking, financial services, and insurance), consulting, and other services). The market size and forecast are provided in terms of value (USD billion) for all the above segments.

The Report Covers Real Estate Company in US and it is segmented by Type (Apartments and Condominiums, Villas and landed houses) and by Cities (New York, Los Angeles, San Francisco, Miami, Washington DC and Other Cities). The report offers market size and forecasts for luxury residential real estate market in US for all above segments.