What is Home Ownership Data? Examples, Sources & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Home Ownership Data?
Home ownership data provides information about individuals and households who own residential properties. This data includes details about property characteristics, ownership status, mortgage information, and more. Businesses, researchers, and policymakers use this data to analyze housing trends, assess market opportunities, and develop targeted strategies.
What Are Examples of Home Ownership Data?
Home ownership data includes various types of information that provide detailed insights into property ownership. Key examples are:
- New Homeowner Data: Information about households who recently purchased properties, offering insights into buyer behavior.
- Property Owner Data: Details about current property owners, including ownership history and demographic profiles.
- Mortgage Data: Details on loan amounts, interest rates, and repayment statuses.
- Property Data: Information on property size, type, age, and amenities.
- Demographic Data: Characteristics of homeowners, such as age, income level, and employment status.
- Transaction History Data: Records of property sales, purchase prices, and dates.
- Location Data: Information on the location of properties, including city, state, and neighborhood details.
A property development company might use home ownership data to identify areas with a high percentage of owner-occupied homes. For example, this data could reveal that suburban neighborhoods have more long-term homeowners compared to urban areas.
Best Home Ownership Databases & Datasets
Here is our curated selection of top Home Ownership Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData
Home Ownership Data, B2C Contact Data - B2C Consumer Address, API, USA, CCPA Compliant
B2C US Real Estate Data / Home Ownership Data / Weekly Updates
Home Ownership Data | Property and Homeowners | Real Estate Transaction | 150+ Data attributes per property
US National Homeowner Association Data | 49M+ HOA Records | Home Ownership Data | B2C Contact Data
190K Weekly Movers, Pre-Movers & Under Contract MLS Postal Mailing List | Home Ownership Data
Factori US Home Ownership Mortgage Data | Property Data | Real-Estate Data - 340+ Million US Homeowners
Alesco Home Ownership Mortgage Data - 50+ Million US Homeowners - Available for Licensing!
TRAK Data - Full US Real Estate Data - Recent Home Buyers, Home Loan Details, Home Attributes, Real Estate Investors, and Much More.
Factori People Data | Global coverage with 900 Million+ device profiles
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Top Home Ownership Data Providers & Companies
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BatchService
CoverageUSADeepen the insights your platform or application offers by harnessing unparalleled property data and accurate owner contact information from a single API.74%Right Party Contact Rate600+Data Points900%Efficiency Improvement -
McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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The Warren Group
CoverageUSAThe Warren Group is the leading national provider of Real Estate Data including Mortgage Data, Loan Originator Data, Sales Data, Property Data & more.99%Coverage1872Year Founded1B+Property & Mortgage Records -
Alesco Data
CoverageUSAVWe've collaborated with Alesco for several months now, and I have nothing but praise for their services. Their team is absolutely outstanding. Our requirements for data were quite stringent, yet they not only met but exceeded our expectations. If you're in need of a reliable provider who delivers exceptional service when it matters most, don't hesitate to choose them.
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Specialists Marketing Services, Inc.
CoverageUSABy leveraging our years of data experience, adhering to best practices and providing the most accurate data sets available, we aim to build a partnership grounded in trust, understanding, and impactful results.100%Deterministic100%Addressable100%Verified -
CrawlBee
CoverageUSAUK+247VI contacted CrawlBee's CEO, Ryan DeWitt through Datarade. Ryan is very flexible, friendly, and extremely helpful! he worked with me to get the mortgage data I need for my research project. The data is very thorough and accurate. I highly recommend CrawlBee as I truly had a very good experience!
Popular Use Cases for Home Ownership Data
Home ownership data has applications across various industries. Common use cases include:
- Market Analysis: Understanding property ownership patterns helps identify housing demand and pricing trends.
- Investment Decisions: Real estate investors use this data to assess market opportunities and risks.
- Urban Planning: Governments and planners rely on ownership data to develop infrastructure and housing policies.
- Targeted Marketing: Businesses use demographic and geographic data to create campaigns for homeowners.
- Credit Risk Assessment: Mortgage lenders analyze ownership and financial data to evaluate borrower creditworthiness.
Main Attributes of Home Ownership Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The postal code of an address. | View 31 datasets | |
| String | The first name of a contact. | View 9 datasets | |
| String | The last name (surname) of a contact. | View 9 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 9 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 7 datasets | |
| String | The name of a city. | View 7 datasets |
How Is Home Ownership Data Collected?
Home ownership data is collected through various sources, including:
- Public Records: Data from government agencies, such as property registries and tax records.
- Real Estate Transactions: Information from property sales and purchase agreements.
- Financial Institutions: Data from mortgage lenders, banks, and credit unions.
- Surveys and Panels: Homeowner-reported information collected through research panels and surveys.
- Private Data Providers: Aggregated data from market research firms and real estate platforms.
Our data providers ensure compliance with privacy regulations, anonymizing personal information to protect individuals’ identities.
Home Ownership Trends
Tracking home ownership trends helps stakeholders stay informed about changes in the housing market. Key trends include:
- Rising Home Prices: Property values have been increasing in many regions, driven by demand and limited supply.
- Shift to Suburban Living: More buyers are choosing suburban areas due to affordability and lifestyle preferences.
- Increased Mortgage Refinancing: Homeowners are taking advantage of lower interest rates to refinance their mortgages.
- Demographic Shifts: Younger buyers are entering the market, while older homeowners are downsizing.
Frequently Asked Questions
How is the Quality of Home Ownership Data Maintained?
The quality of Home Ownership 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 Home Ownership Data Updated?
The update frequency for Home Ownership 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 Home Ownership Data Secure?
The security of Home Ownership 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 Home Ownership Data Delivered?
Home Ownership 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 Home Ownership Data.
How Much Does Home Ownership Data Cost?
The cost of Home Ownership 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 Home Ownership Data for your needs.
What Are Similar Data Types to Home Ownership Data?
Home Ownership Data is similar to other data types, such as Mortgage Data, Property Data, Real Estate Market Data, Commercial Real Estate Data, and Residential Real Estate Data. These related categories are often used together for applications like Smart City.
