What is Home Ownership Data? Examples, Sources & Datasets to Buy
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.
Alesco Home Ownership Mortgage Data - 50+ Million US Homeowners - Available for Licensing!
Factori US Home Ownership Mortgage Data | Property Data | Real-Estate Data - 340+ Million US Homeowners
BatchService | Home Ownership Data US | 87 million property owner records
Home Ownership Data, B2C Contact Data - B2C Consumer Address, API, USA, CCPA Compliant
Home Ownership Data | Property and Homeowners | Real Estate Transaction | 150+ Data attributes per property
B2C US Real Estate Data / Home Ownership Data / Weekly Updates
US National Homeowner Association Data | 49M+ HOA Records | Home Ownership Data | B2C Contact Data
Andrews Wharton Inc | Home Ownership Data | New Homeowner US Movers | 7.6 million records in last 6 months
Xverum | Real Estate Data | 150M Locations | Asian Real Estate Market Data | Real-time Property Market Data | 100% Compliant Asian Home Ownership Data
Think Data Group | US Home Ownership Data | Real Property National Database
Monetize data on Datarade Marketplace
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 first name of a contact. | View 15 datasets | |
| String | The last name (surname) of a contact. | View 15 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 12 datasets | |
| String | The name of a city. | View 12 datasets | |
| String | The Zone Improvement Plan (ZIP) code of an address. | View 11 datasets | |
| String | The abbreviation of a state name. | View 8 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
Where Can I Buy Home Ownership Data?
You can explore our data marketplace to find a variety of Home Ownership 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 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.
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