What is Home Ownership Data?

 

Home ownership data gives you information about property owners and their homes in specific areas. It is mainly used in real estate to evaluate property pricing across similar properties. Datarade helps you find the best home ownership datasets.

Our 6th version of the homeowners database contains a massive amount of fields in Excel format separated by states. You can call, email or direct mail your ads for products and services!

 
📂 email list  : #USA house owner
✅ #email information :
#USA | #House #Owner Databases | All States | 115 M | csv | 2021
email / phone / cellphone / first name  / Last Name / city / state / zip / Home Median Value Description / Income Description / County Description /
✅price : 600$ 
✅Country : #USA All States
✅User count: 115M (#State division)
✅Date breached: 2021
💵 💰Pay via : Bitcoin , Ethereum , Litecoin , Bitcoin Cash , Dogecoin , usdt , trx ,
 
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USA Home owner’s Data

In the current times we are in a situation where information is more valued than anything else. The quality and amount of Information one possesses is directly proportional to the money he is earning. The game begins when there are too many players in the market. Though it is tough on the part of the customers to choose which service or product is better from the rest for more are the options greater is the confusion.

Well, we leave that decision up to you. All we can do for you is to bring the best and fresh homeowner’s data for your business. In the US, Homeowner’s database providers are many but there are really few who considerably have good amount of information in their database. We aim to proffer you with the superior quality of data so that it may help you no matter what you deal in. Our Homeowner’s Database of USA is not consisting of profuse leads in which you have to search rigorously to find the apt data for your organization. Instead, we tend to keep our database appropriate, updated and refined.

No More Painful Research

Property owners can be hard to reach, and sifting through generic bulk data is frustrating and tedious.

What if you could take machine learning, artificial intelligence, and combine it with premium data, to prospect 10x more effectively?

ProspectNow is the only AI-powered research and outreach tool that’s backed by the most complete property data archive in the industry.

With property owner info, tenant, transaction, lien, MLS, and foreclosure information covering every property in the country,  you can find what you need fast with ProspectNow.

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Moreover, our data includes homeowner’s name, address, phone number, date of birth and income. You can easily segregate it on the basis of its age, state and zip code. The data which is being provided to you is constantly checked in order to keep the database consistent and upgraded. The sources from which it has been taken are trusted as well as verified. We suppose that it is our utmost duty to carry out a check before entering any information on our database since safety and security are one of those issues which are always in our mind. So if you contact us don’t worry everything has been verified and confirmed after which it is being provided to you.

 

 

Email list:

USA house owner

 

Home ownership

$600

115 million emails

USA house owner

 

Total number : 115 million emails

115 million emails : $ 600

file extension : csv

File delivery : Telegram

Pay via : ( Bitcoin )
 
 
 
 
 
Telegram channel

 

 information :

 

email / phone / cellphone / first name  / Last Name / city / state / zip / Home Median Value Description / Income Description / County Description /

 

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.

Looking for Homeowners Data? Your Search Comes to an End With Telemarketing BPO Leads

If you are a business owner looking for reliable customer mailing lists that help you reach out to new customers in your area, Telemarketing BPO Leads help you with the accurate US Homeowners list that you can trust. We provide you with timely and precise homeowners list irrespective of size and scope of your business. Using our mailing lists, you can introduce your business to new families shifted in your area and settling in their new environs.

The US homeowner list by Telemarketing BPO Leads will come with leads on homeowners who enjoy the steady income, good credit history, and looking forward to establishing relationships with businesses like yours. Such prospects are more open to spending as they are just setting up their new homes and are looking forward to developing robust and long-time relationships with area businesses. Thus, they are the perfect clientele that will boost your business. Our quality help provided to local businesses like yours have helped them thrive and grow by leaps and bounds. Relying on direct mail campaigns using the homeowner lists provided by us can help sure make your business successful.

We understand that there is no dearth of other mailing list providers who compile their lists using data related to new homeowners. It results in a mailing list that generates sales lead lists that have names and details of people who may or may not be interested in doing business with you. At Telemarketing BPO Leads, we provide you with the US homeowners list that has people listed who are more likely and willing to do business with you. This way, you get to save your advertising dollars by not targeting people who are not interested in your services.

At Telemarketing BPO Leads, we only use complex proprietary data that helps in creating the list that has details of homeowners who are genuinely interested in your business. We are committed to offering you a high deliverability rate that helps you get results from these mailing lists.

For more information about our services, do not hesitate to reach out to us and find out more about our well-curated US homeowner list.

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.

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, Property Owners in US. Identify new homeowners and investors. by AGR Marketing, and Adara Wealth and Homebuyer Data | Homeowners, Likely to Purchase a Home, Wealth Tiers, Credit Card Holders by Adara.

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.

What are similar data types to Home Ownership Data?

Home Ownership Data is similar to Product Ownership Data and Car Ownership Data. These data categories are commonly used for Marketing and Real Estate.

What are the most common use cases for Home Ownership Data?

The top use cases for Home Ownership Data are Marketing and Real Estate.

WASHINGTON (February 23, 2022) – The U.S. homeownership rate climbed to 65.5% in 2020, up 1.3% from 2019 and the largest annual increase on record. More Americans are likely to own a home now than during any year following the Great Recession (65.4% homeownership rate in 2010); however, Black Americans continue to face significant obstacles along the path to homeownership, according to the National Association of Realtors®. The homeownership rate for Black Americans – 43.4% – trails behind that of a decade ago (44.2% in 2010). Conversely, White Americans (72.1%), Asian Americans (61.7%) and Hispanic Americans (51.1%) all achieved decadelong highs in homeownership in 2020, with the rate for Hispanic Americans setting a record and reaching above 50% for the first time.

NAR's 2022 Snapshot of Race and Home Buying in America report examines homeownership trends and challenges by race and location to explain current racial disparities in the housing market. Using data from the 2021 Profile of Home Buyers and Sellers, the report looks at the characteristics of who purchases homes, why they purchase, what they purchase and the financial background for buyers based on race.

"As the gap in homeownership rates for Black and White Americans has widened, it is important to understand the unique challenges that minority home buyers face," said Jessica Lautz, NAR vice president of demographics and behavioral insights. "Housing affordability and low inventory has made it even more challenging for all buyers to enter into homeownership, but even more so for Black Americans."

Housing affordability has eroded for many consumers since the start of the pandemic due to the combination of record-high home prices and record-low inventory. Since 2019, home prices have spiked 30% – or about $80,000 for a typical home, while housing inventory has declined to under one million units available for sale. Approximately half of all homes currently listed for sale (51%) are affordable to households with at least $100,000 income. Nationwide, nearly half of all Asian households annually earn more than $100,000. However, 35% of White households, 25% of Hispanic households and only 20% of Black households have incomes greater than $100,000. NAR's analysis found that the most affordable states for Black households to purchase a home are Maryland, West Virginia, Kansas, Ohio and Indiana. Conversely, the least affordable states for Black households are Utah, Oregon, California, Nevada and Rhode Island.

In terms of renter households, half of Black Americans spend more than 30% of their monthly income on rent. Almost three out of 10 Black renter households (28%) and one in five White renter households (20%) are severely cost-burdened – defined as spending more than 50% of monthly income on rent. Nationwide, NAR estimates that 47% of White renter households and 36% of Black renter households can afford to buy a typical home when comparing the qualifying income to purchase a home and the median income of renter households.

"Black households not only spend a bigger portion of their income on rent, but they are also more likely to hold student debt and have higher balances," Lautz added. "This makes it difficult for Black households to save for a down payment and as a result, they often use their 401(k) or retirement savings to enter homeownership."

Black households (41%) are more than twice as likely as Asian households (18%) and nearly twice as likely as White households (22%) to have student loan debt. Approximately a quarter of Hispanic households (26%) reported having student loan debt. The median student loan debt for Black households ($45,000) exceeded that of Hispanic ($35,500), White ($30,000) and Asian ($24,400) households. Student debt is often a major impediment for prospective home buyers in saving for a down payment. Black and Hispanic applicants (7% each) were rejected for mortgage loans at greater rates than White and Asian applicants – 4% and 3%, respectively.

Black Americans (14%) and Hispanic Americans (12%) were at least twice as likely than White Americans (6%) to tap into their 401(k) or pension funds as a down payment source for a home purchase. Such actions can diminish future wealth growth. Conversely, almost four out of 10 White Americans (38%) used the funds from the sale of their primary residence to serve as a down payment for a home compared to only 25% of Hispanic, 21% of Black and 16% of Asian  Americans.

The study noted that for those who said they witnessed or experienced discrimination in a real estate transaction, nearly a third of Black respondents (32%) said they faced stricter requirements because of their race. That compares to 19% of White respondents, 16% of Hispanic respondents and 4% of Asian respondents. Approximately one-third of Black and White home buyers (32% each) and almost a quarter of Hispanic home buyers (23%) said they witnessed or experienced discrimination with the type of loan product offered.

Approximately seven in 10 White Americans (69%) said they purchased a home in a neighborhood where the majority of the residents were of the same race. However, about a quarter of Hispanic Americans (26%) and less than a fifth of Black (17%) and Asian Americans (15%) said the same.

NAR is working to ensure Realtors® are active leaders in the fight to close the racial homeownership gap. NAR serves on the steering committee of the Black Homeownership Collaborative(link is external), whose seven-point plan aims to increase Black homeownership by a net 3 million by 2030. NAR has also stepped up the real estate industry's efforts to end bias and discrimination. Its "ACT" plan emphasizes "Accountability, Culture Change, and Training" to advance fair housing in the industry. NAR's interactive training platform, Fairhaven, puts real estate professionals in simulated situations where discrimination in a real estate transaction can occur. Also, NAR's implicit bias video and classroom trainings offer strategies to help Realtors® override biases in their daily interactions.

To increase the nation's housing inventory, NAR is advocating that all levels of government include funding for affordable housing construction; preserve, expand and create tax incentives to renovate distressed properties; convert unused commercial space to residential units; and encourage and incentivize zoning reform. Moreover, expanding new-home construction by an additional 550,000 units a year for 10 years would create 2.8 million new jobs and generate more than $400 billion in economic activity. NAR and the Rosen Consulting Group's Housing is Critical Infrastructure: Social and Economic Benefits of Building More Housing report examines the causes of America's housing shortage and provides a range of actions that can effectively address this longtime problem.