What is Real Estate Market Data? Best Datasets & Databases in 2025
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On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Real Estate Market Data?
Real estate market data includes information on property prices, transactions, and market conditions. It helps businesses and investors identify trends, assess risks, and manage property portfolios.
Businesses and investors use this data to measure market performance, compare regional property trends, and estimate future property values. Many datasets connect with analytics tools, allowing users to analyze profitability and market stability.
What Are Examples of Real Estate Market Data?
Real estate market data includes different information and metrics that help assess property trends and investment potential. Key examples include:
- Property Prices: Information on current and historical home prices.
- Rental Rates: Data on rental costs for various property types and locations.
- Property Listings: Active and past real estate listings, including price history and availability.
- Historical Sales Data: Records of past property transactions, sale prices, and ownership transfers.
- Construction & Development Data: Information on new housing developments, building permits, and infrastructure projects.
- Mortgage & Lending Data: Mortgage rates, loan approvals, and foreclosure data.
- Zoning & Land Use Data: Regulations affecting property development and usage.
- Commercial Real Estate Performance: Metrics on office, retail, and industrial property trends.
- Demographic Information: Population trends, household income, and employment rates affecting housing demand.
Access the Best Real Estate Market Databases & Datasets
The best real estate market datasets provide accurate insights into property trends and valuation. Datarade offers a curated selection of real estate market datasets from trusted providers where you can buy real estate market data.
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Xverum | Real Estate Data | 150M Locations | Asian Real Estate Market Data | Real-time Property Market Data | 100% Compliant Asian Home Ownership Data
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Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data
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Real Estate Market Data | Commercial & Residential Real Estate | Sell & Rent Insights | Global Real-Time Real Estate Data from All Websites
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Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample
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Real Estate Market Data | Property Market Data | Entity Extraction | NLP Enrichment
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1.3 MM Real Estate Professionals Data | U.S. Real Estate Marketing Data for Mailing Lists
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Real Estate Listings Data | Real Estate Valuation Data
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Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed
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Real Estate Market Data | Consumer Behaviour Data | Real-Time Real Estate Data | 53 KPIs | Italy | 9 Years Historic Coverage
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CompCurve | Residential Real Estate Data | Real Estate License Data | US and CA | 2.4M Records| Agents and Brokers | Monthly Updates
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Top Real Estate Market Data Providers & Companies
Popular Use Cases for Real Estate Market Data
Real estate market data is essential for various applications across the industry. Common use cases include:
- Real Estate Analytics: Measuring market trends and property performance with data analysis.
- Real Estate Investment: Finding valuable properties and assessing market conditions before buying.
- Real Estate Intelligence: Understanding housing demand, pricing trends, and buyer behavior.
- Real Estate Insights: Studying regional property patterns and market positioning.
- Market Forecasting: Predicting real estate cycles and price changes based on past trends.
- Urban Planning: Assisting city planners with zoning, infrastructure, and development data.
- Mortgage & Lending Risk Assessment: Evaluating borrower risk and foreclosure trends.
- Commercial Real Estate Strategy: Studying demand for office, retail, and industrial properties.
Main Attributes of Real Estate Market Data
Real estate market data includes various attributes that provide insights into market performance and investment opportunities.
- Property Type: Classification of properties (e.g., residential, commercial, industrial).
- Location Data: Geographic details such as city, neighborhood, and ZIP code.
- Price Trends: Historical and current property values.
- Rental Market Metrics: Average rent prices, vacancy rates, and lease terms.
- Transaction Records: Sales history, listing details, and time on market.
- Development Activity: New construction projects and permit approvals.
- Loan & Mortgage Data: Interest rates, loan approvals, and default rates.
- Zoning & Regulations: Land use restrictions and property development laws.
Attribute | Type | Description | Action |
---|---|---|---|
Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 88 datasets | |
String | The name of a city. | View 64 datasets | |
String | The name of a state. | View 53 datasets | |
String | The address of a company or contact (street name, number, zip code, city, county, country). | View 51 datasets | |
Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 47 datasets | |
String | The Zone Improvement Plan (ZIP) code of an address. | View 46 datasets |
Why Is Real Estate Market Data Important?
Real estate market data helps businesses and investors make better decisions about property investment, lending, and urban planning. It allows them to spot profitable opportunities, reduce risks, and refine market strategies.
Investors study price trends and rental data to calculate potential returns. Lenders review mortgage trends to assess loan risks. Government agencies and urban planners use zoning data and construction activity to guide infrastructure development.
Access to real estate market data helps stakeholders make informed choices that align with market trends and economic conditions.
What Is the Best Source for Real Estate Data?
The best sources for real estate data include government agencies, industry reports, and private data providers. Public sources like the U.S. Census Bureau and property tax records offer official market insights. Private providers offer real-time transaction data, predictive analytics, and investment-grade reports.
Choosing the right source depends on the type of analysis needed. Datarade provides a marketplace for real estate datasets, helping you find reliable data for investment, valuation, and compliance.
2025 Housing Market Outlook: Key Data & Trends
The global real estate market is expected to recover in 2025. Economic conditions will improve, and shifts in supply and demand will create new investment opportunities. Lower interest rates and higher investor activity will support growth in key real estate sectors. Limited new developments, regulatory changes, and geopolitical events will require careful planning.
Investors and businesses will need to assess risks and opportunities.
Global Trends in the Real Estate Housing Market
The real estate cycle has shifted, and investor confidence is at its highest in nearly three years. Interest rates are falling, and liquidity is improving, leading to new market activity. Many commercial real estate sectors face supply shortages, increasing competition for high-quality properties. Data centers will see strong demand as AI and cloud computing drive expansion. Investors who act early may benefit as capital returns to the market.
Will House Prices Go Down in 2025 in the U.S.?
The U.S. real estate sector is expected to grow in 2025, supported by consumer spending and better financial conditions. Office markets will continue to recover, with limited high-quality space in major downtown areas. Retail remains stable, with low vacancy rates and rising demand in suburban and Sun Belt locations. Industrial leasing activity will return to pre-pandemic levels. Demand for multifamily housing will stay high due to expensive homeownership costs.
Will House Prices Go Down in 2025 in Europe?
Europe’s real estate market is expected to recover as GDP growth, strong labor markets, and lower borrowing costs drive investment. Office rental growth will be strongest in major cities like London, Madrid, and Brussels. Logistics and retail will expand, with moderate rental increases expected in key markets. The housing sector will still face supply shortages, but investment opportunities will remain steady. New environmental regulations will lead to more redevelopment projects and energy-efficient upgrades. Investors will focus on properties with stable returns as financing conditions improve.
Frequently Asked Questions
Where Can I Buy Real Estate Market Data?
You can explore our data marketplace to find a variety of Real Estate Market Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Real Estate Market Data Maintained?
The quality of Real Estate Market Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Real Estate Market Data Updated?
The update frequency for Real Estate Market Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Real Estate Market Data Secure?
The security of Real Estate Market Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Real Estate Market Data Delivered?
Real Estate Market Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Real Estate Market Data.
How Much Does Real Estate Market Data Cost?
The cost of Real Estate Market Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Real Estate Market Data for your needs.
What Are Similar Data Types to Real Estate Market Data?
Real Estate Market Data is similar to other data types, such as Mortgage Data, Home Ownership Data, Property Data, Commercial Real Estate Data, and Residential Real Estate Data. These related categories are often used together for applications like Real Estate Analytics and Real Estate Investment.