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.

Housing affordability is a major concern for many Los Angeles County residents. Housing constitutes the single largest monthly expense for most people. Among homeowners, their homes are often their largest financial assets. Home ownership can also offer many benefits, including the opportunity to increase financial security and build wealth.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Home Ownership Rate in the United Kingdom decreased to 64.50 percent in 2023 from 64.70 percent in 2022. This dataset provides the latest reported value for - United Kingdom Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Home Ownership Rate in Canada decreased to 66.70 percent in 2023 from 69.30 percent in 2021. This dataset provides the latest reported value for - Canada Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

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.

This dataset provides values for HOME OWNERSHIP RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset contains Iowa households by household type for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B11001. A household includes all the persons who occupy a housing unit as their usual place of residence. A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied as separate living quarters. Household type includes All, All Family, Family - Married Couple, Family - All Single Householders, Family - Male Householder - No Wife Present, Family - Female Householder - No Husband Present, All Nonfamily, Nonfamily - Householder Living Alone, and Nonfamily - Householder Not Living Alone A family household is a household maintained by a householder who is in a family. A family group is defined as any two or more people residing together, and related by birth, marriage, or adoption. Householder refers to the person (or one of the people) in whose name the housing unit is owned or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband or the wife.

This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Private Households Rented Houses owned by the Local Government, Number of Private Household Rented Houses owned by the Local Government Members, Average number of Members per Private Household Rented Houses owned by the Local Government, Area of Floor Space per Household of Private households Rented Houses owned by the Local Government, and Area of Floor Space per Person of Private households Rented Houses owned by the Local Government. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

Are there many properties used as second homes in our local area? How many people live locally and own a second homes elsewhere in England and Wales? You can use this summary of Census 2011 data, produced by the Office for Natinal Statistics (ONS) to highlight some key facts about second home ownership across Cambridgeshire, Peterborough and West Suffolk.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsTenureThis dataset provides Census 2021 estimates that classify households in England and Wales by tenure. The estimates are as at Census Day, 21 March 2021.Definition: Whether a household owns or rents the accommodation that it occupies.Owner-occupied accommodation can be:owned outright, which is where the household owns all of the accommodationwith a mortgage or loanpart-owned on a shared ownership schemeRented accommodation can be:private rented (for example, rented through a private landlord or letting agentsocial rented through a local council or housing associationThis information is not available for household spaces with no usual residents.This dataset includes data for Leicester city and England overall.

The qualitative data include: housing market experiences; how people choose and use their mortgages(as leverage for housing investments and as a way of spending from housing wealth); and home owners and buyers' attitudes to housing wealth. The data collection comprises 8 transcripts from 8 focus groups with a total of 73 participants, recruited by post, flier, and word of mouth. The interviews were conducted in mid-late 2007 in Melbourne, Australia. This data collection is the Australian component of a study aiming at enlarging understandings of the beliefs and behaviors around housing wealth and mortgage debt in the ‘home ownership’ societies of the more developed world. The data include: housing market experiences; how people choose and use their mortgages (as leverage for housing investments and as a way of spending from housing wealth); and home owners and buyers’ attitudes to housing wealth. This complements data already deposited from the UK component: the ESRC-funded study deposited as SN 5849 - 'Banking on housing; Spending the home'. This is a (one-time) cross-sectional study, with participants being mainly mortgaged home-buyers, but the study also includes renters and outright owners (some with investment properties). The data refer specifically to the Melbourne housing market, and more generally to trends in Australia. Focus groups with home owners, buyers and renters looking to own their own homes: (1) first-time buyers; (2) established home buyers;(3) established home buyers; (4) enters in the process of buying a home; (5) high income home occupiers; (6) buyers in mortgage stress; (7) home sellers; (8) outright owners. The time period covered by the data is the early 2000s, reflecting on a phase unprecedented house price appreciation. Participants were the result of non-random, purposive selection(volunteer sample).

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES MARITAL STATUS - DP02 Universe - Population 15 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The marital status question is asked to determine the status of the person at the time of interview. Many government programs need accurate information on marital status, such as the number of married women in the labor force, elderly widowed individuals, or young single people who may establish homes of their own. The marital history data enables multiple agencies to more accurately measure the effects of federal and state policies and programs that focus on the well-being of families. Marital history data can provide estimates of marriage and divorce rates and duration, as well as flows into and out of marriage. This information is critical for more refined analyses of eligibility for program services and benefits, and of changes resulting from federal policies and programs.

Property currently or historically owned and managed by the City of Chicago. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

The following columns were added 4/14/2023:

• Sales Status
• Sale Offering Status
• Sale Offering Reason
• Square Footage - City Estimate
• Land Value (2022) -- Note: The year will change over time.

The following columns were added 3/19/2024:

• Application Use
• Grouped Parcels
• Application Deadline
• Offer Round
• Application URL

This data collection includes data collected as part of the project Selfbuilding: the production and consumption of new homes from the perspective of households. It includes (1) survey data with self builders and potential self builders, alongside (2) transcripts for interviews conducted with key informants (KI) and (3) transcripts for interviews conducted with self builders. (1) The survey data submitted here was collected in 2012-13 via two online surveys, generated and hosted by Bristol Online Surveys. PDF copies of these surveys are included as part of this submission. (a) The first of these targeted contemporary self builders--people who were building or who had built their own homes in the last 20 years. It consisted for 54 questions, covering the desire to selfbuild; past and present residential choice; experiences of construction and self-build; planning your selfbuild; financing your self-build; details of individual self-build projects; and experience of self-building; while also collecting basic information about individual households. (b) The second of these targeted would-be self builders. A much shorter survey, this was designed to merely capture a sense of what people wanted to achieve through self-build and their motivations alongside basic information. (2) The submission to the archive include 30 transcripts of semi-structured interviews conducted with key informants--industry professionals, housing practitioners, local authority representatives and planners. These were conducted between 2013 and 2015. (3) The submission also includes transcripts from in-depth interviews conducted with 22 research participants. Where follow-up visits including recorded interviews took place, there are additional transcripts. The self-building of homes is being promoted as one solution to the shortage of affordable houses in Britain. Currently, self-build projects account for 14% of the new homes built, a percentage equivalent to or greater than that of any single house building firm. This form of housing provision is, however, understudied, with the result that there is very little understanding of who the people are who choose to build their homes, the motivations for this residential practice and experiences of self-building. This project aims to correct this lacuna of knowledge, conducting a systematic enquiry into self-building in Britain, taking seriously the need to know who is using self-build, what their characteristics are and to what extent they succeed in their aims, as well as exploring how the self-build market is structured. The project will be conducted over three years, and is comprised of several different modes of data collection and analysis, engaging self-build households, potential self-builders, industry professionals and experts, national and local planning authorities. This will be supplemented with a review of planning and housing policies, and analysis of popular representations of self-build in Britain. The research took place in three stages: (1) Semi-structured interviews with key stakeholders including local authority representatives, representatives from DCLG, national self-build association (NaSBA), selfbuild developers and supplies, housing practitioners. These were recruited through targeted enquiries via email or phone in the first instance; further parties were recruited via snowball sampling. (2) Internet survey of self-building households The target population for the survey was self-building households at all stages in the process, including those who are just thinking about self-build, and those who have completed their projects. Statistics on the numbers of households who self-build are disputed, and not disaggregated in terms of class background, household composition or the level of engagement. It is therefore impossible to obtain a representative sample in terms of these variables. The survey was promoted through a range of specialist networks and internet fora, with the aim of getting a wide coverage of Britain's self builders. (3) Ethnographic case studies with 20 self-building households A purposive sample of self-building households was recruited through various methods including survey responses, networks and forums. Self-builders at all stages in the self-build process will be recruited. The sample aimed to capture the diversity of the self-build population in terms of household composition, individual and collective self-build, the roles that households take within the self- build process, socio-economic background and the overall financial investment that they make in their projects. For each case study, the researcher spent up to three days with the household, conducting research using a variety of methods including: (1) in-depth interviews with households and individual household members, asking people to think back over their experiences of self-building; (2) the collection of housing and residential histories and trajectories; (3) innovative participatory research methods (a) visual ethnography on-site and (b) analysis of personal archives and architectural plans; (4) participant observation in the home and around the neighbourhood; (5) and the collection of basic socio-economic data.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsTenureThis dataset provides Census 2021 estimates that classify households in England and Wales by tenure. The estimates are as at Census Day, 21 March 2021.Definition: Whether a household owns or rents the accommodation that it occupies.Owner-occupied accommodation can be:owned outright, which is where the household owns all of the accommodationwith a mortgage or loanpart-owned on a shared ownership schemeRented accommodation can be:private rented (for example, rented through a private landlord or letting agentsocial rented through a local council or housing associationThis information is not available for household spaces with no usual residents.This dataset includes data for Leicester city and England overall.

Home Ownership Rate in Poland decreased to 87.10 percent in 2024 from 87.30 percent in 2023. This dataset provides the latest reported value for - Poland Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset for the maps accompanying the Housing in Aotearoa New Zealand: 2025 report. This dataset contains counts and measures for:

• average number of private dwellings per square kilometre
• severe housing deprivation
• home ownership rates
• mould and damp.

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Data is available by territorial authority and Auckland local board.

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Average number of private dwellings per square kilometre has data for occupied, unoccupied, and total private dwellings from the 2013, 2018, and 2023 Censuses, including:

• dwelling counts
• percentage change in the count of dwellings
• average number of dwellings per square kilometre.

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Severe housing deprivation has data for the census usually resident population from the 2018 and 2023 Censuses, including:

• estimated prevalence rate of severe housing deprivation (per 10,000 people)
• estimated rate for those; without shelter, in temporary accommodation, sharing someone else’s private dwelling, in uninhabitable housing, for whom it could not be determined whether they were severely housing deprived or not.

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Home ownership rates has data for households in occupied private dwellings from the 2013, 2018, and 2023 Censuses, including:

• counts and percentages for households that owned their home or held it in a family trust, or did not own their home
• percentage change in the count of households that owned their home or held it in a family trust, or did not own their home.

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Mould and damp has data for occupied private dwellings from the 2018 and 2023 Censuses, including:

• counts and percentages for dwellings with or without mould or damp
• percentage change in the count of dwellings with or without mould or damp.

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Map shows the average number of private dwellings per square kilometre for the 2023 Census

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Map shows the estimated prevalence rate of severe housing deprivation (per 10,000 people) for the census usually resident population for the 2023 Census.

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Map shows the percentage of households in occupied private dwellings that owned their home or held it in a family trust for the 2023 Census.

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Map shows the percentage of occupied private dwellings that were damp or mouldy for the 2023 Census.

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Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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Severe housing deprivation time series

The 2018 estimates of severe housing deprivation have been updated using the 2023 methodology for estimating severe housing deprivation. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.

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Severe housing deprivation

Figures in this map and geospatial file exclude Women’s refuge data, as well as estimates for children living in non-private dwellings. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.

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Dwelling density

This data shows the average number of private dwellings (occupied and unoccupied) per square kilometre of land for an area. This is a measure of dwelling density.

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About the 2023 Census dataset

For information on the 2023 Census dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Census usually resident population count concept quality rating

The census usually resident population count is rated as very high quality.

Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Quality of severe housing deprivation data

Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information on the data quality of this variable.

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Dwelling occupancy status quality rating

Dwelling occupancy status is rated as high quality.

Dwelling occupancy status – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Dwelling type quality rating

Dwelling type is rated as moderate quality.

Dwelling type – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Tenure of household quality rating

Tenure of household is rated as moderate quality.

Tenure of household – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Dwelling dampness indicator quality rating

Dwelling dampness indicator is rated as moderate quality.

Housing quality – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Dwelling mould indicator quality rating

Dwelling mould indicator is rated as moderate quality.

Housing quality – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census