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This dataset provides a comprehensive snapshot of the Texas real estate market as of 2024, featuring a curated selection of 500 property listings. It encompasses a wide array of properties, reflecting the diverse real estate landscape across Texas. This dataset serves as a foundational tool for understanding market dynamics, property valuations, and regional housing trends within the state.
Given its breadth and depth, this dataset is poised to facilitate a multitude of data science applications. Researchers and analysts can leverage this dataset for exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the Texas real estate market. It is particularly suited for regression analyses to predict property prices based on various features, classification tasks to categorize properties into different market segments, and geographical data analysis to understand regional market dynamics. Despite the dataset's modest size, it offers a rich source for machine learning models aimed at providing insights into price determinants and market trends, ensuring practical applications remain within realistic and achievable bounds.
url: Web address for the property listing on Realtor.com.status: Current status of the listing, indicating availability.id: Unique identifier for each property listing.listPrice: The asking price for the property.baths: Total number of bathrooms, including partials.baths_full: Number of full bathrooms.baths_full_calc: Calculated number of full bathrooms, for consistency.beds: Number of bedrooms in the property.sqft: Total square footage of the property.stories: Number of levels or floors in the property.sub_type: Specific sub-category of the property, if applicable.text: Descriptive narrative provided for the property listing.type: General category of the property (e.g., single-family, condo).year_built: Year the property was constructed.This dataset has been meticulously compiled, adhering to ethical standards and ensuring all data is sourced from publicly available information. It respects privacy and copyright considerations, utilizing data that is openly accessible and intended for public consumption.
Gratitude is extended to Realtor.com for serving as an invaluable resource in the compilation of this dataset. The platform's commitment to providing comprehensive and accessible real estate data has significantly contributed to the depth and quality of this dataset.
The dataset thumbnail image is credited to Realtor.com, as featured on their official Facebook page. The image serves as a visual representation of the diverse and dynamic nature of the Texas real estate market, captured in this comprehensive dataset. View Image
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TwitterThis dataset comes from Zillow and provides a comprehensive look at U.S. housing market trends from 2018 to May 2024. It includes detailed data on median home values, average days outstanding for property sales, and their impact on reducing prices in several cities. This dataset is ideal for analyzing the correlation between home values, time to market, and price adjustments, offering valuable insights for real estate professionals, economists, and data analysts interested in the dynamics of the U.S. housing market.
About the license, taken from the Zillow website:
“For research and academic projects, we provide the following metrics that have more flexible Terms of Use regarding data storage and manipulation – https://www.zillow.com/research/data/”
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The United States real estate market was valued at USD 3.43 Trillion in 2024. The industry is expected to grow at a CAGR of 2.80% during the forecast period of 2025-2034 to reach a value of USD 4.52 Trillion by 2034. The market growth is mainly driven by the rising corporate investment, particularly in addressing the nation’s affordable housing shortage.
Major corporations are actively investing to integrate housing stability with social responsibility, supporting both new construction and the preservation of existing homes. In September 2024, UnitedHealth Group surpassed USD 1 billion in investments for affordable and mixed-income housing through direct capital and tax credits. These projects span 31 states and have delivered over 25,000 homes, simultaneously improved community health and providing secure housing for low- and moderate-income households.
Such corporate involvements are reshaping trends in United States real estate market by expanding the supply of affordable housing, reducing barriers for renters and homeowners, and stimulating development in high-demand urban and suburban areas. By aligning financial resources with strategic planning, corporations are enabling scalable solutions that meet social and economic objectives while enhancing overall market efficiency.
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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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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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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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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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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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Discover the booming global residential real estate market! Our comprehensive analysis reveals a $11.14 billion market in 2025, projected to grow at a 6.07% CAGR through 2033. Explore key drivers, regional trends, and leading companies shaping this dynamic industry. 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: Rapid urbanization, Government initiatives. Notable trends are: Increased urbanization and homeownership by elderly.
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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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Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums, and Landed Houses & Villas), by Price Band (Affordable, Mid-Market, and Luxury/Super-prime), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Region (North America, South America, Europe, Asia-Pacific, and Middle East & Africa). 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?
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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.
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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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The real estate market attained a value of USD 4295.21 Billion in 2024. The market is expected to grow at a CAGR of 6.40% during the forecast period of 2025-2034. By 2034, the market is expected to reach USD 7987.31 Billion.
Smart city initiatives are integrating technology into urban planning to improve livability, efficiency, and sustainability. Real estate is at the core of these transformations, with developments featuring smart utilities, real-time traffic monitoring, and digitally managed public services. In March 2025, Gopalan Enterprises invested ₹500 crore to launch 3,000 AI-powered smart homes by 2025, marking its tech-driven expansion. These innovations attract both residents and businesses seeking convenience, safety, and lower operating costs.
Shifts in lifestyle and work habits are redefining the real estate market dynamics. Post-pandemic preferences include larger homes, outdoor spaces, and home offices. In commercial real estate, flexible layouts, wellness-focused designs, and high-speed internet are essential. Tenants seek amenity-rich environments with co-working zones, fitness centers, and green spaces. The rise of remote and hybrid work has further made suburban and exurban areas more attractive. Customization, comfort, and connectivity are now key selling points across both residential and commercial segments.
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The global residential real estate market size is projected to grow from USD 11.619 trillion in 2025 to USD 23.493 trillion by 2033, exhibiting a CAGR of 9.2%.
Report Scope:
| Report Metric | Details |
|---|---|
| Market Size in 2024 | USD 10.64 Trillion |
| Market Size in 2025 | USD 11.619 Trillion |
| Market Size in 2033 | USD 23.493 Trillion |
| CAGR | 9.20% (2025-2033) |
| Base Year for Estimation | 2024 |
| Historical Data | 2021-2023 |
| Forecast Period | 2025-2033 |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends |
| Segments Covered | By Budget,By Size,By Region. |
| Geographies Covered | North America, Europe, APAC, Middle East and Africa, LATAM, |
| Countries Covered | U.S., Canada, U.K., Germany, France, Spain, Italy, Russia, Nordic, Benelux, China, Korea, Japan, India, Australia, Taiwan, South East Asia, UAE, Turkey, Saudi Arabia, South Africa, Egypt, Nigeria, Brazil, Mexico, Argentina, Chile, Colombia, |
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Real Estate Market size was valued at USD 79.7 Trillion in 2024 and is projected to reach USD 103.6 Trillion by 2031, growing at a CAGR of 5.1% during the forecasted period 2024 to 2031
Global Real Estate Market Drivers
Population Growth and Urbanization: In order to meet the demands of businesses, housing needs, and infrastructure development, there is a constant need for residential and commercial properties as populations and urban areas rise.
Low Interest Rates: By making borrowing more accessible, low interest rates encourage both individuals and businesses to make real estate investments. Reduced borrowing costs result in reduced mortgage rates, opening up homeownership and encouraging real estate investments and purchases.
Economic Growth: A thriving real estate market is a result of positive economic growth indicators like GDP growth, rising incomes, and low unemployment rates. Robust economies establish advantageous circumstances for real estate investment, growth, and customer assurance in the housing sector. Job growth and income increases: As more people look for rental or purchase close to their places of employment, housing demand is influenced by these factors. The housing market is driven by employment opportunities and rising salaries, which in turn drive home buying, renting, and property investment activity. Infrastructure Development: The demand and property values in the surrounding areas can be greatly impacted by investments made in infrastructure projects such as public facilities, utilities, and transportation networks. Accessibility, convenience, and beauty are all improved by improved infrastructure, which encourages real estate development and investment.
Government Policies and Incentives: Tax breaks, subsidies, and first-time homebuyer programs are a few examples of government policies and incentives that can boost the real estate market and homeownership. Market stability and growth are facilitated by regulatory actions that promote affordable housing, urban redevelopment, and real estate development.
Foreign Investment: Foreign capital can be used to stimulate demand, diversify property portfolios, and pump capital into the real estate market through direct property purchases or real estate investment funds. Foreign investors are drawn to the local real estate markets by favorable exchange rates, stable political environments, and appealing returns.
Demographic Trends: Shifting demographic trends affect housing preferences and demand for various property kinds. These trends include aging populations, household formation rates, and migration patterns. It is easier for real estate developers and investors to match supply with changing market demand when they are aware of demographic fluctuations.
Technological Innovations: New technologies that are revolutionizing the marketing, transactions, and management of properties include digital platforms, data analytics, and virtual reality applications. In the real estate industry, technology adoption increases market reach, boosts customer experiences, and increases operational efficiency.
Environmental Sustainability: Decisions about real estate development and investment are influenced by the growing knowledge of environmental sustainability and green building techniques. Market activity in environmentally aware real estate categories is driven by demand for eco-friendly neighborhoods, sustainable design elements, and energy-efficient buildings.
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TwitterIn 2025, India was the country with the highest increase in house prices since 2010 among the Asia-Pacific (APAC) countries under observation. In the second quarter of the year, the nominal house price index in India reached over 359 index points. This suggests an increase of 259 percent since 2010, the baseline year when the index value was set to 100. It is important to note that the nominal index does not account for the effects of inflation, meaning when adjusted for inflation, price growth in real terms was slower.
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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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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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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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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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This dataset provides a comprehensive snapshot of the Texas real estate market as of 2024, featuring a curated selection of 500 property listings. It encompasses a wide array of properties, reflecting the diverse real estate landscape across Texas. This dataset serves as a foundational tool for understanding market dynamics, property valuations, and regional housing trends within the state.
Given its breadth and depth, this dataset is poised to facilitate a multitude of data science applications. Researchers and analysts can leverage this dataset for exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the Texas real estate market. It is particularly suited for regression analyses to predict property prices based on various features, classification tasks to categorize properties into different market segments, and geographical data analysis to understand regional market dynamics. Despite the dataset's modest size, it offers a rich source for machine learning models aimed at providing insights into price determinants and market trends, ensuring practical applications remain within realistic and achievable bounds.
url: Web address for the property listing on Realtor.com.status: Current status of the listing, indicating availability.id: Unique identifier for each property listing.listPrice: The asking price for the property.baths: Total number of bathrooms, including partials.baths_full: Number of full bathrooms.baths_full_calc: Calculated number of full bathrooms, for consistency.beds: Number of bedrooms in the property.sqft: Total square footage of the property.stories: Number of levels or floors in the property.sub_type: Specific sub-category of the property, if applicable.text: Descriptive narrative provided for the property listing.type: General category of the property (e.g., single-family, condo).year_built: Year the property was constructed.This dataset has been meticulously compiled, adhering to ethical standards and ensuring all data is sourced from publicly available information. It respects privacy and copyright considerations, utilizing data that is openly accessible and intended for public consumption.
Gratitude is extended to Realtor.com for serving as an invaluable resource in the compilation of this dataset. The platform's commitment to providing comprehensive and accessible real estate data has significantly contributed to the depth and quality of this dataset.
The dataset thumbnail image is credited to Realtor.com, as featured on their official Facebook page. The image serves as a visual representation of the diverse and dynamic nature of the Texas real estate market, captured in this comprehensive dataset. View Image