Graph and download economic data for Homeownership Rate in the United States (RSAHORUSQ156S) from Q1 1980 to Q2 2025 about housing, rate, and USA.

The homeownership rate in the United States declined slightly in 2023 and remained stable in 2024. The U.S. homeownership rate was the highest in 2004 before the 2007-2009 recession hit and decimated the housing market. In 2024, the proportion of households occupied by owners stood at **** percent in 2024, *** percentage points below 2004 levels. Homeownership since the recession The rate of homeownership in the U.S. fell in the lead up to the recession and continued to do so until 2016. Despite this trend, the share of Americans who perceived homeownership as part of their personal American dream remained relatively stable. This suggests that the financial hardship caused by the recession led to the fall in homeownership, rather than a change in opinion about the importance of homeownership itself. What the future holds for homeownership Homeownership trends vary from generation to generation. Homeownership among Americans over 65 years old is declining, whereas most Millennial renters plan to buy a home in the near future. This suggests that homeownership will remain important in the future, as Millennials are forecast to head most households over the next two decades.

The homeownership rate was the highest among Americans in their early 70s and the lowest among people in their early 20s in 2023. In that year, approximately ** percent of individuals aged 70 to 75 resided in a residence they owned, compared to approximately **** percent among individuals under the age of 25. On average, **** percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

Home Ownership Rate in the United States decreased to 65.10 percent in the first quarter of 2025 from 65.70 percent in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The homeownership rate in the United States amounted to nearly ** percent in the third quarter of 2024. While there are many factors that affect people’s decision to buy a house, the recent decrease can be attributed to the higher mortgage interest rates, which make taking out a mortgage less affordable for potential buyers, especially considering the surge in house prices in recent years. Which factors affect homeownership? Age and ethnicity have a strong correlation with homeownership. Baby boomers, for example, are twice as likely to own their home than Millennials. Also, the homeownership rate among white Americans is substantially higher than among any other ethnicity. How does the U.S. homeownership rate compare with other countries? Having a home is an integral part of the “American Dream”. Compared with selected European countries, the U.S. ranks alongside the United Kingdom, Cyprus, and Ireland. Many countries in Europe, however, exceed ** percent homeownership rate.

Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner with Mortgage by Deciles of Income Before Taxes: Fourth 10 Percent (31st to 40th Percentile) (CXU980230LB1505M) from 2014 to 2023 about consumer unit, homeownership, percentile, mortgage, tax, percent, income, and USA.

United States Housing Vacancy Rate: Homeowner: Central City Areas data was reported at 1.700 % in Sep 2018. This records an increase from the previous number of 1.600 % for Jun 2018. United States Housing Vacancy Rate: Homeowner: Central City Areas data is updated quarterly, averaging 1.900 % from Mar 1965 (Median) to Sep 2018, with 210 observations. The data reached an all-time high of 4.300 % in Mar 2008 and a record low of 0.900 % in Jun 1973. United States Housing Vacancy Rate: Homeowner: Central City Areas data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB008: Housing Vacancy and Home Ownership Rate.

Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner with Mortgage by Composition of Consumer Unit: Single Person and Other Consumer Units (CXU980230LB0610M) from 1984 to 2023 about consumer unit, homeownership, mortgage, percent, personal, and USA.

The value of homeowner equity in the United States increased from approximately 8.77 trillion U.S. dollars in 2010 to approximately 29.3 trillion U.S. dollars in 2022. The home equity value is calculated by subtracting the value of remaining mortgage debt from the market value of the real estate property. That means that the value of home equity increases as the debtor pays off the mortgage.

70% of White British households owned their own homes – the highest percentage out of all ethnic groups.

In 2024, the share of homeowner equity in the United States amounted to ***** percent in 2024. This was a substantial increase since the period following the Subprime mortgage crisis when the ratio fell below ** percent. Home equity value is calculated by subtracting the value of remaining mortgage debt from the market value of the real estate property. That means that the ratio share of home equity to real estate property value increases as the debtor pays off the mortgage.

BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

In 2020, 30 percent of U.S. homeowners who bought during the COVID-19 pandemic said that due to financial reasons they should've waited to purchase home. On the other hand, about 43 percent of Americans stated that they made the right decision to become a homeowner during the coronavirus pandemic.

United States Housing Vacancy Rate: By Structure: Homeowner: 1 Unit data was reported at 1.300 % in Jun 2018. This stayed constant from the previous number of 1.300 % for Mar 2018. United States Housing Vacancy Rate: By Structure: Homeowner: 1 Unit data is updated quarterly, averaging 1.400 % from Mar 1968 (Median) to Jun 2018, with 202 observations. The data reached an all-time high of 2.600 % in Mar 2008 and a record low of 0.600 % in Mar 1979. United States Housing Vacancy Rate: By Structure: Homeowner: 1 Unit data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB008: Housing Vacancy and Home Ownership Rate.

Product Overview

Homeowner Association (HOA) Data is notoriously difficult to obtain from a single source – until now. With HOA Contact Data, you can start identifying properties that are part of an association and may have restrictions for improvements. Knowing whether your prospects are a part of an HOA mitigates risk and streamlines your decision-making. You can avoid the homes that are unlikely to respond or confidently adjust your approach to be more appealing and directed toward the correct audience.

What is HOA Data?

As of 2019, more than 351,000 HOA communities exist across the United State. To be sure you’re connecting with those homeowners in a way they will respond to, it’s important to know the demographics and to have accurate, current, data powering your outreach. Our robust database covers all 50 states (encompassing 2,748 counties) and accounts for more than 49 million unique properties, providing an in-depth snapshot of HOAs across the country.

HOA Data Details

• Property Location
• HOA Name
• HOA Fee Type and Value
• HOA Fee Frequency
• HOA Contact
• HOA Contact Type
• Contact Information (Name, Address, Photo, and Email)

Homeowner Assistance Fund (HAF) Income Limits are used for determining eligibility for HAF funds. HAF funds are used for qualified expenses that assist homeowners having incomes equal to or less than the greater of 150 percent of the area median income for their household size, or the median income for the United States, as determined by the Secretary of Housing and Urban Development.The Department of the Treasury's Homeowner Assistance Fund provides funds to prevent homeowner mortgage delinquencies, defaults, foreclosures, loss of utilities or home energy services, and homeowner displacement. For more information about the Homeowner Assistance Fund Program, please visit https://home.treasury.gov/policy-issues/coronavirus/assistance-for-state-local-and-tribal-governments/homeowner-assistance-fund

Multiple advantages with Home Owner Data Set: Increase campaign ROI with personalized and targeted engagements. Utilize predictive real estate data attributes such as home value, purchase date, property descriptors, and mortgage information. Focus resources on high-value prospects and their preferences Maximize conversions with personalized marketing campaigns featuring relevant real estate intelligence. Engage your target audience with messaging tailored to their interests and needs.

New Homeowner Data is a subset of our comprehensive property intelligence database that can be segmented by specific property criteria, household demographics, mortgage, and real estate portfolio information.

Companies in the home services, financial products, and consumer products industries use BatchData to identify new homeowners who have purchased a property in the last 90 days and uncover their direct phone number, email, and mailing address for timely marketing of products and services new homeowners need. New homeowner data can also be segmented property type (residential real estate or commercial real estate), length of ownership, owner occupancy status, and more!

New homeowner data is available in a variety of data delivery and data enrichment modes: API (you pull data from us using an API), webhook (we push data to you using an API), AWS S3 upload (we deliver the data to you), S3 download (you download the data from our S3 bucket), SFTP.

BatchData is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate contact information for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

In a September 2020 survey among adults in the United States, one in three Millennials who was a person of color (POC) said that they were more interested in buying a home due to the COVID-19 pandemic (35 percent). On the other hand, the share of White Non-Hispanic Millennials who were more likely to purchase a house was 21 percent. In the United States, the 2020 homeownership rate reached 65.8 percent.

Ownership Cost 30% of income from PUMA (Public Use MicroData Area) Data