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.

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.

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

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.

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.

Find people who have recently purchased a home in any neighborhood anywhere in the USA. This covers only homeowners - not renters. Filter by people who moved in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move.

Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

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

Just a small share of renters in the United States were homeowner ready in 2022. In El Paso, TX, the percentage of renters who could afford to buy a home with a seven percent mortgage was the highest at about ** percent. Homeownership in Urban Honolulu, HI, San Diego, CA, and Los Angeles, CA, was most out of reach, with less than **** percent who could afford to buy a home.

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.

Set Up We’ll help ensure you’re set up to get the data you need, how you need it. We’ll help you through provisioning the extraction, enrichment, formatting, delivery/update schedule, and reporting around your data. With hundreds of unique data points available, the information you need to find leads fast is at your fingertips - new homeowner data, home ownership data, B2C contact data and more, built for professional services companies.

Custom Development We provide technical resources to support integration and delivery requirements specific to your business needs, augmenting developer resources to keep your team focused on other tasks.

Enrichment Services Enrichment services improve the accuracy, completeness, and depth of your dataset by regularly filling in blank values, and updating outdated records. We’ll help ensure that the specific data points, update candances, and replacement rules fit your GTM strategy.

Analysis Healthcheck We’ll audit your organization’s data health and usage strategy, and make sure you’re focused on the right KPIs and performance metrics.

Implementation Support From technical architecture to scheduled and flexible delivery of data in multiple formats, we make it easy to realize the value of better data.

Data Blending & Enhancement Combine multiple data sources to create a single, new dataset to standardize operations and enable better reporting.

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.

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.

Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner by Age: from Age 25 to 34 (CXUHOMEOWNLB0403M) from 1990 to 2023 about consumer unit, age, homeownership, 25 years +, percent, and USA.

United States Homeownership Rate: Annual data was reported at 63.900 % in 2017. This records an increase from the previous number of 63.400 % for 2016. United States Homeownership Rate: Annual data is updated yearly, averaging 64.700 % from Dec 1965 (Median) to 2017, with 53 observations. The data reached an all-time high of 69.000 % in 2004 and a record low of 63.000 % in 1965. United States Homeownership Rate: Annual 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.

The Report Covers US Home Insurance Market Size & Industry Statistics and it is Segmented by Insurance Type and Distribution Channels.

The statistic shows the custom-made furniture U.S. homeowners would purchase at an appealing price in 2016, by age. The survey revealed that at an appealing price, ** percent of respondents, aged 30 to 49 years, would be willing to purchase custom-made furniture for their bedroom.

Data comes from the Home Mortgage Disclosure Act and represents home purchases secured by a first lien that are intended to be occupied by the purchaser (not investment homes). Visit https://www.consumerfinance.gov/data-research/hmda/ for more information.

Harness the Power of Fresh New Homeowner Audience Data

Our comprehensive New Homeowner Audience Data file is a meticulously curated compilation of Direct Marketing data, enriched with valuable Email Address Data. This essential resource offers unparalleled access to Consumers and Prospects who have recently moved into new homes or apartments.

Averaging an impressive 1.1 million records monthly, our dataset is continually updated with the latest information, including a dedicated 30-day hotline file for the most recent movers. This ensures you're always working with the freshest and most relevant data.

With an average income surpassing $55K and a high concentration of families, these new homeowners present a prime opportunity for businesses across various sectors. From healthcare providers and home improvement specialists to financial advisors and interior designers, our data empowers you to identify and reach your ideal customer.

Benefit from our flexible pricing options, allowing you to tailor your data acquisition to your specific business needs. Choose from transactional purchases or opt for annual licensing with unlimited use cases for marketing and analytics.

Unlock the full potential of your marketing campaigns with our New Homeowner Audience Data.

Home Ownership Rate in Denmark increased to 60.90 percent in 2024 from 60 percent in 2023. This dataset provides the latest reported value for - Denmark Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.