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 Homeownership Rates by Race and Ethnicity: Black Alone in the United States (BOAAAHORUSQ156N) from Q1 1994 to Q2 2025 about homeownership, African-American, rate, and USA.

Graph and download economic data for Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States (NHWAHORUSQ156N) from Q1 1994 to Q2 2025 about homeownership, white, non-hispanic, rate, and USA.

Home ownership persists as the primary way that families build wealth. Housing researchers and advocates often discuss the racial home ownership gap, particularly for Black and Hispanic households (Urban Institute, Pew Hispanic Center). Historical policies such as redlining, steering, and municipal underbounding have effects that stay with us today.This map shows the overall home ownership rate and the home ownership rate by race/ethnicity of householder in a chart in the pop-up. Map is multi-scale showing data for state, county, and tract.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

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

The homeownership among White people in the United States was **** percent, the highest out of all ethnicities, in 2023. American Dream Part of the “American Dream” is the idea of owning a home. It is seen as a status symbol and an indicator of wealth. People take a lot of pride in owning a home, and hope to do so at the earliest age possible. It is the idea of having a white picket fence with a nuclear family, a dog, and a car or two which is seen as the stereotypical “end goal”. However, in the aftermath of the 2008 recession, the rate of homeownership in the United States fell steadily until 2016. The recession hindered people’s chances of owning a home, due to less credit being available and their own fears about being stuck with a home in negative equity if another recession were to occur. As a result, the homeownership rate in the United States has barely increased in the past few years. Factors affecting homeownership Homeownership varies based on different factors. Married-couple families have the highest homeownership rates among different family statuses. Unsurprisingly, households with high incomes have the highest homeownership rates.

Homeownership Rates by Race and Ethnicity: All Other Races: Total in the United States was 57.20% in January of 2025, according to the United States Federal Reserve. Historically, Homeownership Rates by Race and Ethnicity: All Other Races: Total in the United States reached a record high of 60.60 in July of 2006 and a record low of 46.30 in April of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rates by Race and Ethnicity: All Other Races: Total in the United States - last updated from the United States Federal Reserve on July of 2025.

Homeownership Rates by Race and Ethnicity: Hispanic (of Any Race) in the United States was 47.80% in January of 2025, according to the United States Federal Reserve. Historically, Homeownership Rates by Race and Ethnicity: Hispanic (of Any Race) in the United States reached a record high of 51.40 in April of 2020 and a record low of 40.30 in January of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rates by Race and Ethnicity: Hispanic (of Any Race) in the United States - last updated from the United States Federal Reserve on July of 2025.

Data on homeowners' demographic characteristics from Homeowner Assistance Fund County-Level Targeting Data published in the Urban Institute's data catalog (https://datacatalog.urban.org/dataset/homeowner-assistance-fund-county-level-targeting-data).

The average homeownership rate in the United States remained mostly unchanged in 2023. Homeownership improved the most among the Asian population, increasing by 1.3 percentage points, while among American Indian or Alaskan Native, it declined by 1.8 percentage points. Overall, the share of white homeowners was higher than any other race.

Homeownership Rates by Race and Ethnicity: Black Alone in the United States was 44.70% in January of 2025, according to the United States Federal Reserve. Historically, Homeownership Rates by Race and Ethnicity: Black Alone in the United States reached a record high of 49.70 in April of 2004 and a record low of 40.60 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rates by Race and Ethnicity: Black Alone in the United States - last updated from the United States Federal Reserve on July of 2025.

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows tenure (owner or renter) by race of householder. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized by the overall homeownership rate. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B25003, B25003B, B25003C, B25003D, B25003E, B25003F, B25003G, B25003H, B25003I Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This statistic shows the Generation Z homeownership rate in the United States in 2016 and 2025, by ethnicity. In 2016, almost 13 percent of Hispanic Americans between 15 and 24 years were homeowners, but this is set to rise to 28.5 percent by 2025 when they will be 25 to 34 years.

Graph and download economic data for Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States (ANHPIHORUSQ156N) from Q1 2016 to Q2 2025 about native hawaiin, homeownership, asian, Pacific Islands, rate, and USA.

Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States was 62.00% in January of 2025, according to the United States Federal Reserve. Historically, Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States reached a record high of 63.00 in October of 2023 and a record low of 53.70 in April of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States - last updated from the United States Federal Reserve on July of 2025.

This statistic shows the Millennial homeownership rate in the United States in 2016 and 2025, by ethnicity. In 2016, ** percent of Hispanic Americans between 25 and 34 years were homeowners, but this is set to rise to 45.9 percent by 2025 when they will be 35 to 44 years.

Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States was 74.20% in January of 2025, according to the United States Federal Reserve. Historically, Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States reached a record high of 76.20 in April of 2004 and a record low of 69.80 in January of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States - last updated from the United States Federal Reserve on July of 2025.

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.

Displacement risk indicator showing how many households within the specified groups are facing either housing cost burden (contributing more than 30% of monthly income toward housing costs) or severe housing cost burden (contributing more than 50% of monthly income toward housing costs).

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The data were obtained from one state prison system that was characterized by a diverse and rising prison population. This prison system housed more than 30,000 inmates across 15 institutions (14 men's facilities; 1 women's facility). The data contain information on inmates' placements into different housing units across all 15 state prison complexes, including designated maximum security, restrictive housing units. Inmates placed in restrictive housing were in lockdown the majority of the day, had limited work opportunities, and were closely monitored. These inmates were also escorted in full restraints within the institution. They experienced little recreational time, visitation and phone privileges, and few interactions with other inmates. The data contain information on inmates' housing placements, institutional misconduct, risk factors, demographic characteristics, criminal history, and offense information. These data provide information on every housing placement for each inmate, including the time spent in each placement, and the reasons documented by correctional staff for placing inmates in each housing unit. Demographic information includes inmate sex, race/ethnicity, and age. The collection contains 1 Stata data file "Inmate-Housing-Placements-Data.dta" with 16 variables and 124,942 cases.