Datastream Real Property and New Home Owners File USA - Property Ownership Data
Adara Wealth and Homebuyer Data | Homeowners, Likely to Purchase a Home, Wealth Tiers, Credit Card Holders
Multimedia Lists - New Mover Data of US consumers (19.6 million new home owners)
Stirista Life Event Data: New Movers, New Moms, Newly Engaged, Newlyweds, New Business Owners
TovoData Residential Property Data API USA - 100% Homeowner Coverage
Matrixian Group Automated Valuation Model (AVM) API for individual homes valuation
Multimedia Lists - New Homeowners Database USA (1 Million purchases)
TovoData Homeowner Marketing Lists USA of 150 Million households
Matrixian Group Consumer Relocation Intent Data (Netherlands) - Smart Move
The Data Group’s USA Property file containing over 150 million records (Residential and Commercial)
The Ultimate Guide to Home Ownership Data 2021
What is Home Ownership Data?
Home ownership data is information about homeowners and their properties. It can be used to highlight whether any changes have occurred in the rate of home ownership (ie are more or fewer people buying their own homes). This data can be limited to a specific local area or it can be used on a national or even international scale. Often this data is analyzed to give a regional or area profile on home owners and their properties.
How is Home Ownership Data collected?
The process of buying a house requires the collection of a lot of data and this is used to populate a home ownership dataset. Think how much basic information has to be provided to even show interest in buying a house! This information is collected by data providers and compiled into an accurate and comprehensive dataset. Home ownership surveys can also be used to collect this data. Information such as their age and demographic, whether this is their first property or they price they paid can also be used in the makeup of a home ownerhsip dataset. The property market is notoriously difficult to get into, so the more data available, the more accessible the market can be to better informed buyers.
What are the attributes of Home Ownership Data?
Home ownership datasets will provide all sorts of different information. Basic details will include who owns the house, their information, house location, price (and maybe price in comparison to other similar properties in the area). There also might be details about the property itself, such as when it was built, how it compares to other local properties as well as when it was last sold and for what price. Recently, energy labels have also becoming increasingly important in home ownership datasets as people try to optimize their energy efficiency.
Information about the local area may also be provided in the dataset. Often there are details about transport links, the property’s catchment area and what local amenities are nearby. All this information is especially important for the real estate profession as it can be used to market a property to potential buyers. People always want to make an informed decision before shelling out for a house!
What is Home Ownership Data used for?
Home ownership data is an essential part of the Real Estate market. By looking at the prices of other similar local properties both purchasers and agents can get a feel for the price range their property should be marketed in. When it comes to buying or selling a property, it is essential to have all the key facts and this is where home ownership data really comes into play. By making sure your property has a comprehensive report, you are much more likely to have success in buying or selling.
Governments also rely heavily on home ownership data to evaluate how the property market is faring. It can highlight trends in property ownership - is the number of homeowners increasing or decreasing? This can be used in all kinds of reports, from demographic to wealth reports or as a general analysis of a country’s population.
How can a user assess the quality of Home Ownership Data?
The very best home ownership datasets will provide a comprehensive and clear picture of property ownership information. It should be regularly updated to reflect the evolving property market and should also provide historical records which give you an important insight into the evolution of the housing market in a certain area or country. Due to the many different uses of home ownership data it is crucial to make sure the data provider’s dataset matches your needs.
Who are the best Home Ownership Data providers?
Finding the right Home Ownership Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Home Ownership Data providers that you might want to buy Home Ownership Data from are Datastream Group, Matrixian Group, Adara, Multimedia Lists, and Stirista.
Where can I buy Home Ownership Data?
Data providers and vendors listed on Datarade sell Home Ownership Data products and samples. Popular Home Ownership Data products and datasets available on our platform are Datastream Real Property and New Home Owners File USA - Property Ownership Data by Datastream Group, Adara Wealth and Homebuyer Data | Homeowners, Likely to Purchase a Home, Wealth Tiers, Credit Card Holders by Adara, and Multimedia Lists - New Mover Data of US consumers (19.6 million new home owners) by Multimedia Lists.
How can I get Home Ownership Data?
You can get Home Ownership Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Home Ownership Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Home Ownership Data APIs, feeds and streams to download the most up-to-date intelligence.