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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 🌍 |
Year | The year of observation 📅 |
Average House Price ($) | The average price of houses in USD 💰 |
Median Rental Price ($) | The median monthly rent for properties in USD 🏠 |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage 📉 |
Household Income ($) | The average annual household income in USD 🏡 |
Population Growth (%) | The percentage increase in population over the year 👥 |
Urbanization Rate (%) | Percentage of the population living in urban areas 🏙️ |
Homeownership Rate (%) | The percentage of people who own their homes 🔑 |
GDP Growth Rate (%) | The annual GDP growth percentage 📈 |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force 💼 |
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TwitterIn 2021, Allegheny County Economic Development (ACED), in partnership with Urban Redevelopment Authority of Pittsburgh(URA), completed the a Market Value Analysis (MVA) for Allegheny County. This analysis services as both an update to previous MVA’s commissioned separately by ACED and the URA and combines the MVA for the whole of Allegheny County (inclusive of the City of Pittsburgh). The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional community boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. This MVA utilized data that helps to define the local real estate market. The data used covers the 2017-2019 period, and data used in the analysis includes: Residential Real Estate Sales Mortgage Foreclosures Residential Vacancy Parcel Year Built Parcel Condition Building Violations Owner Occupancy Subsidized Housing Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. Please refer to the presentation and executive summary for more information about the data, methodology, and findings.
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TwitterThis dataset contains prices of New York houses, providing valuable insights into the real estate market in the region. It includes information such as broker titles, house types, prices, number of bedrooms and bathrooms, property square footage, addresses, state, administrative and local areas, street names, and geographical coordinates.
- BROKERTITLE: Title of the broker
- TYPE: Type of the house
- PRICE: Price of the house
- BEDS: Number of bedrooms
- BATH: Number of bathrooms
- PROPERTYSQFT: Square footage of the property
- ADDRESS: Full address of the house
- STATE: State of the house
- MAIN_ADDRESS: Main address information
- ADMINISTRATIVE_AREA_LEVEL_2: Administrative area level 2 information
- LOCALITY: Locality information
- SUBLOCALITY: Sublocality information
- STREET_NAME: Street name
- LONG_NAME: Long name
- FORMATTED_ADDRESS: Formatted address
- LATITUDE: Latitude coordinate of the house
- LONGITUDE: Longitude coordinate of the house
- Price analysis: Analyze the distribution of house prices to understand market trends and identify potential investment opportunities.
- Property size analysis: Explore the relationship between property square footage and prices to assess the value of different-sized houses.
- Location-based analysis: Investigate geographical patterns to identify areas with higher or lower property prices.
- Bedroom and bathroom trends: Analyze the impact of the number of bedrooms and bathrooms on house prices.
- Broker performance analysis: Evaluate the influence of different brokers on the pricing of houses.
If you find this dataset useful, your support through an upvote would be greatly appreciated ❤️🙂 Thank you
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Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.
Key Features:
Who Can Benefit From This Dataset:
Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.
Looking for deeper insights or a custom data pull from Redfin?
Send a request with just one click and explore detailed property listings, price trends, and housing data.
🔗 Request Redfin Real Estate Data
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This USA Housing Market Dataset (Synthetic) contains 300 rows and 10 columns of real estate-related data designed for housing price prediction, trend analysis, and investment insights. It includes key property details such as price, number of bedrooms and bathrooms, square footage, year built, garage spaces, lot size, zip code, crime rate, and school ratings.
This dataset is ideal for: ✅ Machine Learning Models for predicting housing prices ✅ Market Research & Investment Analysis ✅ Exploring Property Trends in the USA ✅ Educational Purposes for Data Science and Analytics
This dataset provides a realistic yet synthetic view of the real estate market, making it useful for data-driven decision-making in the housing industry.
Let me know if you need any modifications!
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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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The Housing Data Extracted from Homes.com (USA) dataset is a comprehensive collection of 2 million real estate listings sourced from Homes.com, one of the leading real estate platforms in the United States. This dataset offers detailed insights into the U.S. housing market, making it an invaluable resource for real estate professionals, investors, researchers, and analysts.
The dataset contains extensive property details, including location, price, property type (single-family homes, condos, apartments), number of bedrooms and bathrooms, square footage, lot size, year built, and availability status. Organized in CSV format, it provides users with easy access to structured data for analyzing trends, developing investment strategies, or building real estate applications.
Key Features:
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The China Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Mode of Sale (Primary and Secondary), Business Model (Sales and Rental) and Key Cities (Shenzhen, Beijing, Shanghai, Hangzhou, Guangzhou, and Other Key Cities). The Market Forecasts are Provided in Terms of Value (USD).
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Australian Property Market Insights Dataset: Historical affordability metrics, cash rate impact on lending, supply vs demand analysis, property metrics, first home buyer trends, and lending risk assessment. Official data from ABS, APRA, and RBA (2014-present).
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The United States Residential Real Estate Market is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Region (Northeast, Midwest, Southeast, West and Southwest). The Market Forecasts are Provided in Terms of Value (USD)
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Real Estate Market Size 2025-2029
The real estate market size is valued to increase USD 1258.6 billion, at a CAGR of 5.6% from 2024 to 2029. Growing aggregate private investment will drive the real estate market.
Major Market Trends & Insights
APAC dominated the market and accounted for a 64% growth during the forecast period.
By Type - Residential segment was valued at USD 1440.30 billion in 2023
By Business Segment - Rental segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 48.03 billion
Market Future Opportunities: USD 1258.60 billion
CAGR from 2024 to 2029 : 5.6%
Market Summary
In the dynamic realm of global real estate, private investment continues to surge, reaching an impressive USD 2.6 trillion in 2020. This significant influx of capital underscores the sector's enduring appeal to investors, driven by factors such as stable returns, inflation hedging, and the ongoing demand for shelter and commercial real estate space. Simultaneously, marketing initiatives have gained momentum, with digital platforms and virtual tours becoming increasingly popular.
However, regulatory uncertainty looms, posing challenges for market participants. Amidst this complex landscape, real estate remains a vital component of the global economy, continually evolving to meet the shifting needs of businesses and individuals alike.
What will be the Size of the Real Estate Market during the forecast period?
Get Key Insights on Market Forecast (PDF) Request Free Sample
How is the Real Estate Market Segmented ?
The 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.
Type
Residential
Commercial
Industrial
Business Segment
Rental
Sales
Manufacturing Type
New construction
Renovation and redevelopment
Land development
Geography
North America
US
Canada
Europe
Germany
UK
APAC
Australia
China
India
Japan
South Korea
South America
Brazil
Rest of World (ROW)
By Type Insights
The residential segment is estimated to witness significant growth during the forecast period.
Amidst the dynamic real estate landscape, the residential sector encompasses the buying and selling of various dwelling types, including single-family homes, apartments, townhouses, and more. This segment experiences continuous growth, fueled by increasing millennial homeownership rates and urbanization trends. Notably, the APAC region, specifically China, dominates the market share, driven by escalating homeownership numbers. Concurrently, the Indian real estate sector thrives due to the demand for affordable housing, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects. In this evolving market, various aspects such as environmental impact studies, capital appreciation potential, title insurance coverage, building lifecycle costs, mortgage interest rates, and structural engineering analysis play crucial roles.
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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.
Property tax appeals, property insurance premiums, property tax assessments, property marketing strategies, building material pricing, property management software, land surveying techniques, zoning regulations compliance, architectural design features, building code compliance, multifamily property management, rental yield calculations, construction cost estimation, energy efficiency ratings, green building certifications, tenant screening processes, investment property returns, property development plans, geotechnical site investigations, sustainable building practices, due diligence procedures, HVAC system efficiency, property renovation costs, market value appraisals, building permit acquisition, and property valuation models significantly impact the sector's progression. As of 2021, the market is projected to reach a value of USD 33.3 trillion, underscoring its substantial influence on the global economy.
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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.
See How Real Estate Market Demand is Rising in APAC Request Free Sample
The APAC region held the largest share of the market in 2024, driven by factors such as rapid urbanization and increasing spending capacity. This trend is expected to continue during the forecast period. The overall health of the economy signi
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This comprehensive house price dataset encompasses over 100,000 rows of data, providing an extensive overview of the global real estate market. It includes critical variables such as property prices, location details, property types, square footage, number of bedrooms, and bathrooms, and more.
The dataset is designed for in-depth analysis and modeling, making it suitable for researchers, data analysts, and real estate professionals. Users can leverage this data to identify trends, perform market analysis, develop predictive models, and gain insights into the factors influencing housing prices across various regions.
With its rich dataset, users can explore correlations between property features and pricing, assess market dynamics over time, and make informed decisions based on empirical evidence.
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Discover the booming global residential real estate market! Our in-depth analysis reveals a $11.14B market in 2025, projected to grow at a 6.07% CAGR through 2033. Learn about key drivers, trends, regional insights, and leading companies shaping this dynamic industry. Get the data-driven insights you need to succeed. Recent developments include: December 2023: The Ashwin Sheth group is planning to expand its residential and commercial portfolio in the MMR (Mumbai Metropolitan Area) region, India., November 2023: Tata Realty and Infrastructure, a wholly-owned subsidiary of Tata Sons, plans to grow its business with more than 50 projects in major cities in India, Sri Lanka and the Maldives. The projects have a development potential of more than 51 million square feet.. Key drivers for this market are: Rapid urbanization, Government initiatives. Potential restraints include: High property prices, Regulatory challenges. Notable trends are: Increased urbanization and homeownership by elderly.
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TwitterIn late 2016, the URA, in conjunction with Reinvestment Fund, completed the 2016 Market Value Analysis (MVA) for the City of Pittsburgh. The Market Value Analysis (MVA) offers an approach for community revitalization; it recommends applying interventions not only to where there is a need for development but also in places where public investment can stimulate private market activity and capitalize on larger public investment activities. The MVA is a unique tool for characterizing markets because it creates an internally referenced index of a municipality’s residential real estate market. It identifies areas that are the highest demand markets as well as areas of greatest distress, and the various markets types between. The MVA offers insight into the variation in market strength and weakness within and between traditional neighborhood boundaries because it uses Census block groups as the unit of analysis. Where market types abut each other on the map becomes instructive about the potential direction of market change, and ultimately, the appropriateness of types of investment or intervention strategies. Pittsburgh’s 2016 MVA utilized data that helps to define the local real estate market between July, 2013 and June, 2016: • Median Sales Price • Variance of Sales Price • Percent Households Owner Occupied • Density of Residential Housing Units • Percent Rental with Subsidy • Foreclosures as a Percent of Sales • Permits as a Percent of Housing Units • Percent of Housing Units Built Before 1940 • Percent of Properties with Assessed Condition “Poor” or worse • Vacant Housing Units as a Percentage of Habitable Units The MVA uses a statistical technique known as cluster analysis, forming groups of areas (i.e., block groups) that are similar along the MVA descriptors, noted above. The goal is to form groups within which there is a similarity of characteristics within each group, but each group itself different from the others. Using this technique, the MVA condenses vast amounts of data for the universe of all properties to a manageable, meaningful typology of market types that can inform area-appropriate programs and decisions regarding the allocation of resources. During the research process, staff from the URA and Reinvestment Fund spent an extensive amount of effort ensuring the data and analysis was accurate. In addition to testing the data, staff physically examined different areas to verify the data sets being used were appropriate indicators and the resulting MVA categories accurately reflect the market.
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Discover the latest trends and insights into the booming US residential real estate market. Our comprehensive analysis reveals a steady CAGR of 2.04%, key drivers, market segmentation, and leading players. Learn about growth projections through 2033 and understand the opportunities and challenges shaping this dynamic sector. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Notable trends are: Existing Home Sales Witnessing Strong Growth.
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The Asia-Pacific Office Real Estate Market Report is Segmented by Geography (China, Japan, India, Australia, South Korea, and the Rest of APAC). The Report Offers Market Size and Forecasts for the Asia-Pacific Office Real Estate Market in Value (USD Billion) for all the Above Segments.
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Explore the Redfin Canada Properties Dataset, available in CSV format and extracted in April 2022. This comprehensive dataset offers detailed insights into the Canadian real estate market, including property listings, prices, square footage, number of bedrooms and bathrooms, and more. Covering various cities and provinces, it’s ideal for market analysis, investment research, and financial modeling.
Key Features:
Who Can Use This Dataset:
Download the Redfin Canada Properties Dataset to access valuable information on the Canadian housing market, perfect for anyone involved in real estate, finance, or data analysis.
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Myanmar Residential Real Estate Market Size 2025-2029
The Myanmar residential real estate market size is forecast to increase by USD 233.2 million at a CAGR of 4.7% between 2024 and 2029.
The market is experiencing significant growth, driven by increasing urbanization and a burgeoning middle class population. Technological advancements are transforming the residential real estate industry, with digital platforms and mobile applications becoming essential tools for property listings, transactions, and customer engagement. However, regulatory uncertainty remains a major challenge, as the government implements new policies and regulations to govern the sector. This instability can impact investor confidence and hinder market growth. To capitalize on opportunities and navigate these challenges effectively, companies should closely monitor regulatory developments and adapt their strategies accordingly.
Additionally, leveraging technology to streamline operations and enhance customer experience will be crucial in a competitive market. Overall, the market presents both risks and rewards for investors and industry players, requiring a strategic and agile approach to succeed.
What will be the size of the Myanmar Residential Real Estate Market during the forecast period?
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The residential real estate market continues to evolve, shaped by various factors influencing urban areas worldwide. Essential services and infrastructure, including transportation systems and functional infrastructure, remain crucial elements driving demand for urban living. Urban sustainability and the development of new metropolises and cities are gaining momentum, with a focus on tall structures and affordable housing solutions. Economic growth and living levels are key factors influencing the market's size and direction. Despite the overall positive trend, economic headwinds and poor management in some areas can lead to imbalances in the demand-supply equation. First-time buyers face challenges in securing real estate loans due to rising mortgage rates and transactional taxes.
Central banks and governments implement measures to stabilize the market, including adjusting mortgage interest rates and promoting inexpensive housing schemes. The industrial regions' growth and the establishment of new urban areas contribute to increasing transaction volumes, with a growing emphasis on urban planning and efficient decision-making processes. However, the market's dynamics are complex, with various factors influencing property values and the homeownership rate. Informal settlements and poor management in some areas can hinder the market's growth and stability.
How is this market segmented?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Landed houses and villas
Apartments and condominiums
Mode Of Booking
Sales
Rental/Lease
Geography
Myanmar
By Type Insights
The landed houses and villas segment is estimated to witness significant growth during the forecast period.
The market is primarily driven by the demand for landed houses and villas. These properties, which accounted for the largest market share in 2024, offer a unique blend of community and privacy. Villas, specifically, are standalone houses with a veranda or yard, typically located in exclusive areas. They provide a sense of community while maintaining privacy, distinguishing them from flats. In contrast, landed houses are stand-alone dwellings that can be constructed on any type of land. Property tax implications, investor confidence, and housing affordability significantly impact the residential real estate market. Property value fluctuations, home sellers, and housing supply also play crucial roles.
Urban planning strategies, such as sustainable housing development and urban regeneration, are essential to address affordability and urban mobility concerns. Real estate investment trends, including home renovation, property management services, and data analysis, are shaping the market. Smart home technology and urban design are also influencing housing demand. City branding, competitiveness, and resilience are key factors in urban development and planning. Infrastructure development, sustainable urbanism, and economic diversification are essential for creating smart cities and addressing urban sprawl.
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The Landed houses and villas segment was valued at USD 566.90 million in 2019 and showed a gradual increase 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 compan
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The US Office Real Estate Market Report is Segmented by Building Grade (Grade A, Grade B, and More), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by States (Texas, California, Florida and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
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The India Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Residential and Commercial), by End-User (Individuals/Households, Corporates & SMEs and Others), and by City (Mumbai Metropolitan Region, Delhi NCR, Pune, Bengaluru, Hyderabad, Chennai, Kolkata, Ahmedabad, and the Rest of India). The Market Forecasts are Provided in Terms of Value (USD).
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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 🌍 |
Year | The year of observation 📅 |
Average House Price ($) | The average price of houses in USD 💰 |
Median Rental Price ($) | The median monthly rent for properties in USD 🏠 |
Mortgage Interest Rate (%) | The average mortgage interest rate percentage 📉 |
Household Income ($) | The average annual household income in USD 🏡 |
Population Growth (%) | The percentage increase in population over the year 👥 |
Urbanization Rate (%) | Percentage of the population living in urban areas 🏙️ |
Homeownership Rate (%) | The percentage of people who own their homes 🔑 |
GDP Growth Rate (%) | The annual GDP growth percentage 📈 |
Unemployment Rate (%) | The percentage of unemployed individuals in the labor force 💼 |