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 81 percent of individuals aged 70 to 75 resided in a residence they owned, compared to approximately 23.6 percent among individuals under the age of 25. On average, 65.9 percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

In 2023, the rate of homeownership among White people living in the United States was 74.3 percent. Comparatively, 45.7 percent of Black people owned a home in the same year.

Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner with Mortgage by Age: Age 65 or over (CXU980230LB0407M) from 1988 to 2023 about 65-years +, consumer unit, age, homeownership, mortgage, percent, and USA.

In the presented European countries, the homeownership rate extended from 42 percent in Switzerland to as much as 96 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 27 European countries has remained relatively stable over the past few years. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2023, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria - one of the most expensive European countries to buy a new dwelling in - the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2023, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.

Graph and download economic data for Homeownership Rate for the United States (USHOWN) from 1984 to 2024 about homeownership, housing, rate, 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 homeownership rate in the United States amounted to nearly 66 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 80 percent homeownership rate.

Homeownership Rate for Florida was 68.40% in January of 2024, according to the United States Federal Reserve. Historically, Homeownership Rate for Florida reached a record high of 72.40 in January of 2005 and a record low of 64.10 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rate for Florida - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner with Mortgage by Housing Tenure: Home Owner (CXU980230LB1702M) from 1984 to 2023 about consumer unit, homeownership, mortgage, percent, housing, and USA.

What Makes Our Data Unique? We do not buy and resell other provider's data. We aggregate our housing data, which we source ourselves, to ensure the highest quality.

Our real estate data encompasses a wide range of comprehensive information on homeowners and properties.

• Current listings as well as properties for rent.
• Current and past property owners
• Current and past building permits
• Property attributes such as number of rooms, square footage, roof type, and many more.
• Zoning details
• Businesses at location
• Forclosure details
• Current and historical property values
• Tax details

Use cases and verticals.

• Developers looking to create applications around real estate data tailored towards real estate investors or agents.
• Agents or investors looking to acquire new leads within a geographical territory.
• Market analysts looking to uncover trends within the housing sector.

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 BatchService 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.

BatchService is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchService 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.

Between 2008 and 2022, the homeownership rate in Germany decreased slightly. In 2022, about 46.7 percent of the population lived in an owner-occupied dwelling. This makes Germany one of the countries with the lowest homeownership rate and the biggest rental residential real estate market in Europe.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

Graph and download economic data for Homeownership Rate for Washington (WAHOWN) from 1984 to 2024 about homeownership, WA, housing, rate, and USA.

United States Homeownership Rate: 25 to 29 Years data was reported at 32.100 % in 2017. This records an increase from the previous number of 30.900 % for 2016. United States Homeownership Rate: 25 to 29 Years data is updated yearly, averaging 36.300 % from Dec 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 41.800 % in 2006 and a record low of 30.900 % in 2016. United States Homeownership Rate: 25 to 29 Years 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.

Homeownership Rate for Michigan was 74.10% in January of 2023, according to the United States Federal Reserve. Historically, Homeownership Rate for Michigan reached a record high of 77.40 in January of 2006 and a record low of 70.60 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rate for Michigan - last updated from the United States Federal Reserve on March of 2025.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Graph and download economic data for Homeownership Rates by Race and Ethnicity: Black Alone in the United States (BOAAAHORUSQ156N) from Q1 1994 to Q4 2024 about homeownership, African-American, rate, and USA.

Summary File 1 (SF1) Urban/Rural Update contains summary statistics on population and housing subjects derived from the responses to the 2010 Census questionnaire. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The summary statistics are presented in 333 tables, which are tabulated for multiple levels of observation (called "summary levels" in the Census Bureau's nomenclature), including, but not limited to, regions, divisions, states, metropolitan/micropolitan statistical areas, counties, county subdivisions, places, congressional districts, American Indian Areas, Alaska Native Areas, Hawaiian Home Lands, ZIP Code tabulation areas, census tracts, block groups, and blocks. There are 177 population tables and 58 housing tables shown down to the block level; 84 population tables and 4 housing tables shown down to the census tract level; and 10 population tables shown down to the county level. Some of the summary areas are iterated for "geographic components" or portions of geographic areas, e.g., the principal city of a metropolitan statistical area (MSA) or the urban and rural portions of a MSA. With one variable per table cell and additional variables with geographic information, the collection comprises 2,597 data files, 49 per state, the District of Columbia, Puerto Rico, and the National File. The Census Bureau released SF1 in three stages: initial release, National Update, and Urban/Rural Update. The National Update added summary levels for the United States, regions, divisions, and geographic areas that cross state lines such as Combined Statistical Areas. This update adds urban and rural population and housing unit counts, summary levels for urban areas and the urban/rural components of census tracts and block groups, geographic components involving urbanized areas and urban clusters, and two new tables (household type by relationship for the population 65 years and over and a new tabulation of the total population by race). The initial release and National Update is available as ICPSR 33461. ICPSR supplies this data collection in 54 ZIP archives. There is a separate archive for each state, the District of Columbia, Puerto Rico, and the National File. The last archive contains a Microsoft Access database shell and additional documentation files besides the codebook.

Homeownership Rate for Utah was 68.30% in January of 2024, according to the United States Federal Reserve. Historically, Homeownership Rate for Utah reached a record high of 76.20 in January of 2008 and a record low of 68.00 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rate for Utah - last updated from the United States Federal Reserve on March of 2025.