The majority of the U.S. housing stock was between 42 and 51 years old as of 2021. According to the source, the median year was 1979, meaning that the median house age was 42 years. Housing construction in the U.S. plummeted between 2005 and 2010 and has since been slow to recover.

This U.S. Census Bureau American Community Survey (ACS) five-year estimates data set includes information about the year housing structures were built in a number of geographic areas ranging from statewide to census tract. The data set includes housing age data from 2009-2016.

The majority of home buyers across all age groups in the United States purchased a detached single-family home in 2024. The share of home buyers that purchased such a home was at least ** percent across all generations.

The majority of home buyers in the United States in 2024 across all age groups purchased a home between ***** and ***** square feet in size. ** percent of the young millennials (26 to 34 years old) and ** percent of the silent generation (79 to 99 years old) purchased a home about the same feet in size.

Average age and remaining useful service life ratio of Canadian residential housing assets. Annual estimates are available by province and territory, type of asset, and type of dwelling.

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.

Graph and download economic data for Consumer Unit Characteristics: Age of Reference Person by Housing Tenure: Home Owner (CXU980020LB1702M) from 1984 to 2023 about consumer unit, age, homeownership, personal, housing, and USA.

This summary statistics data file contains a complete or 100-percent count of all persons in group quarters by sex and age, including ages under 1 to 74 with a category for ages 75 and over, as well as the total. The distribution is repeated for 18 race/Hispanic groups. Population in group quarters includes persons in institutional group quarters such as homes, schools, hospitals, or wards for the physically and mentally handicapped, hospitals or wards for mental, tubercular, or chronically ill patients, homes for unwed mothers, nursing, convalescent, and rest homes for the aged and dependent, orphanages, and correctional institutions. Noninstitutional group quarters include rooming and boarding houses, general hospitals, including nurses' and interns' dormitories, college students' dormitories, religious group quarters, and similar housing. Demographic items specify age, sex, state of birth, race, ethnicity, marital status, education, income, and type of group quarters lived in. Data are available for all counties and independent cities in the United States.

About this dataset

Context

The dataset tabulates the population of House by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for House. The dataset can be utilized to understand the population distribution of House by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in House. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for House.

Key observations

Largest age group (population): Male # 60-64 years (7) | Female # 60-64 years (9). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the House population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the House is shown in the following column.
• Population (Female): The female population in the House is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in House for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for House Population by Gender. You can refer the same here

Graph and download economic data for Expenditures: Housing by Age: Under Age 25 (CXUHOUSINGLB0402M) from 1984 to 2023 about age, expenditures, housing, and USA.

This layer shows housing costs as a percentage of household income by age. This is shown by county boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Income is based on earnings in past 12 months of survey. This layer is symbolized to show the predominant housing type for householders where the householder is age 65+ and spending at least 30% of their income on housing.

Most of England's housing stock is owner occupied and built before 1919. Among the homes built after 2002, about 2.1 million homes were owner occupied, about 654,000 were privately rented and approximately 459,000 were social housing. The largest share of social housing was found in buildings built between 1945 and 1980. In 2024, there were around 15.8 million owner occupied households in England.

Graph and download economic data for Other Financial Information: Estimated Market Value of Owned Home by Age: from Age 55 to 64 (CXU800721LB0406M) from 1984 to 2023 about owned, market value, age, information, financial, housing, estimate, and USA.

Graph and download economic data for Expenditures: Rented Dwellings by Age: from Age 35 to 44 (CXURNTDWELLLB0404M) from 1984 to 2023 about age, rent, expenditures, housing, and USA.

Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate respiratory conditions, like asthma. Data from the U.S. Census Bureau contains Census Tract estimates of housing age, and Allegheny County assessment data provides parcel-level information on the year residential properties were built.

The data is tabular data containing information on residential history, neighborhood built environment, individual-level economic and demographic information, and measured serum metals. This dataset is not publicly accessible because: The data is not owned by the EPA and contains protected information in the form of residential history and thus cannot be uploaded into ScienceHub. It can be accessed through the following means: The data can be accessed by contacting Dr. Chantel Martin. Format: Data is tabular data containing information on residential history, neighborhood built environment, individual-level economic and demographic information, and measured serum metals concentrations. This dataset is associated with the following publication: Lodge, E., C. Martin, R.C. Fry, A. White, C. Ward-Caviness, S. Martin, and A. Aiello. Objectively measured external building quality, Census housing vacancies and age, and serum metals in an adult cohort in Detroit, Michigan. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 177-186, (2023).

The majority of home buyers in the United States in 2021 purchased homes that cost *** thousand U.S. dollars or more. Homes over *** thousand U.S. dollars were purchased by ** percent of buyers from the ** to ** age group who made up the largest share of buyers in that category.

This indicator is defined as the median of the distribution of the share of total housing costs (net of housing allowances) in the total disposable household income (net of housing allowances) presented by age group.

Average age detail of the premises in the city of Barcelona which have housing as its main use and destination

Age Friendly - Home Ownership/Renter Stats Ages 75 to 84. Data Source US Dept of Housing and Urban Development (HUD)