The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts. Data are updated semiannually, at the end of the second and fourth quarters of each year. Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available. The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, which is derived from Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions. These files can be used to determine the change in legal housing units across time and space.
These files are no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">728 KB</span></p>
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Comma-separated Values" class="gem-c-attachment_abbr">CSV</abbr></span>, <span class="gem-c-attachment_attribute">286 KB</span></p>
<p class="gem-c-attachment_metadata"><a class="govuk-link" aria-label="View Local authority housing statistics - full data 2019 to 2020 online" href="/media/62b319028fa8f5356d206d53/LAHS_all_data_2019_2020_-_06_2022.csv/preview">View online</a></p>
The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter households. These files have been the basis for the worst case needs tables since 2001. The data files are available for public use, since they were derived from AHS public use files and the published income limits and FMRs. These dataset give the community of housing analysts the opportunity to use a consistent set of affordability measures. The most recent year HADS is available as a Public Use File (PUF) is 2013. For 2015 and beyond, HADS is only available as an IUF and can no longer be released on a PUF. Those seeking access to more recent data should reach to the listed point of contact.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Dataset of all the data supplied by each local authority and imputed figures used for national estimates.
This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.
MS Excel Spreadsheet, 1.26 MB
This file may not be suitable for users of assistive technology.
Request an accessible format.Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Total Housing Inventory in the United States increased to 1540 Thousands in May from 1450 Thousands in April of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.
Our interactive dashboard illustrates results and historical trends.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">54 KB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
Statistics on the availability and affordability of housing, homelessness, and homebuilding in rural and urban areas.
Indicators:
Data source: Department for Levelling up, Housing and Communities & Ministry for Housing, Communities and Local Government
Coverage: England
Rural classification used: Local Authority Rural-Urban Classification
Next release date: tbc
Defra statistics: rural
Email mailto:rural.statistics@defra.gov.uk">rural.statistics@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to May 2025 about median and USA.
Housing stock in units is an economic estimate of the number of housing units in Canada, the provinces and territories by institutional sector, dwelling occupation, dwelling type, and tenure type. These data are used to estimate gross domestic product by income and expenditure. The units are benchmarked to dwelling data from the census at the national, provincial and territorial levels. Dwelling type and tenure type are also aligned with census data.
The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD).Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, and data on affordable housing collected by DOH.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This tool is a searchable data catalogue containing links to a range of official statistics on housing. It forms a part of the ONS Housing Statistics Portal.
The dataset contains current data on low rent and Section 8 units in PHA's administered by HUD. The Section 8 Rental Voucher Program increases affordable housing choices for very low-income households by allowing families to choose privately owned rental housing. Through the Section 8 Rental Voucher Program, the administering housing authority issues a voucher to an income-qualified household, which then finds a unit to rent. If the unit meets the Section 8 quality standards, the PHA then pays the landlord the amount equal to the difference between 30 percent of the tenant's adjusted income (or 10 percent of the gross income or the portion of welfare assistance designated for housing) and the PHA-determined payment standard for the area. The rent must be reasonable compared with similar unassisted units.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This table contains figures on the satisfaction with the current dwelling and the living environment of private households in independent homes. The figures are presented for both owners and tenants and can be further divided into various characteristics of the household and the region. Figures at the municipal level are only provided for municipalities that had 100,000 inhabitants or more in 2018.
Data available from: 2002
Status of the figures: final
Changes as of 10 April 2025: Final figures for 2024 included.
Statistics Netherlands is switching to a new classification regarding migration background. From now on, it will be primarily decisive where someone was born, and additionally where his/her parents were born. The term migration background will no longer be used. The main classification Western/non-Western will be replaced by a classification based on continents and common immigration countries. This classification will be gradually introduced in tables and publications with population by origin. For this StatLine table, it has been decided that the classification of migration background will be stopped. As of reporting year 2024, the figures regarding migration background in this table will no longer be updated.
When will new figures be published? Figures over reporting year 2027 will be published in 2028.
Dataset of all the data supplied by each local authority and imputed figures used for national estimates.
This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.
MS Excel Spreadsheet, 920 KB
This file may not be suitable for users of assistive technology.
Request an accessible format.In 2024, there were approximately **** million housing units occupied by renters in the United States. This number has been gradually increasing since 2010 as part of a long-term upward swing since 1975. Meanwhile, the number of unoccupied rental housing units has followed a downward trend, suggesting a growing demand and supply failing to catch up. Why are rental homes in such high demand? This high demand for rental homes is related to the shortage of affordable housing. Climbing the property ladder for renters is not always easy, as it requires prospective homebuyers to save up for a down payment and qualify for a mortgage. In many metros, the median household income is insufficient to qualify for the median-priced home. How many owner occupied homes are there in the U.S.? In 2023, there were over ** million owner occupied homes. Owner occupied housing is when the person who owns a property – either outright or through a mortgage – also resides in the property. Excluded are therefore rental properties, employer-provided housing and social housing.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Total number of housing starts (seasonally adjusted)
Total housing starts are reported by local authority and private building control organisations after the end of each quarter. A start is counted from the point at which foundation work begins. The figures are seasonally adjusted to allow comparisons with previous quarters.
Increasing the supply of housing is a key part of DCLG policy. The house building figures are the most frequent and timely indicator of housing delivery.
Quarterly
P2 quarterly house building returns by local authority building control departments; monthly information from the National House Building Council (NHBC) on the volume of building control inspections; and a quarterly survey of private building control companies. Published figures are at https://www.gov.uk/government/organisations/department-for-communities-and-local-government/series/house-building-statistics.
England
Yes, can be split by local authority area and by tenure
An increase in this indicator is good and shows more new houses are being started.
Figures are published within two months of the end of the reporting period.
May 2015.
National Statistics.
The P2 figures from local authorities and figures from private building control companies include imputation for a small number of missing returns.
Seasonal factors for the house building time series are re-calculated annually back to 2000. This is usually done in the second quarter of the calendar year. Therefore the seasonally adjusted house building figures throughout the whole period change slightly at that time but are not marked as 'revised'.
The AHS is the largest, regular national housing sample survey in the United States. The U.S. Census Bureau conducts the AHS to obtain up-to-date housing statistics for the Department of Housing and Urban Development (HUD). The AHS national survey was conducted annually from 1973-1981 and biennially (every two years) since 1983. Metropolitan area surveys have been conducted annually or biennially since 1974.
In 2023, Germany had the largest housing stock among European countries with a total of **** million housing units. Other countries heading the ranking were France, Spain, and the United Kingdom (UK). This was not surprising, considering that the top four countries have some of the largest population in Europe. In terms of the number of housing units per 1,000 citizens, however, the top three countries were Bulgaria, Spain and France. Which European countries build the most housing? Supply of new housing varies greatly in different countries. In 2023, Ireland and Poland delivered the highest number of housing completions, but when it comes to construction starts, Ireland topped the ranking, leaving Serbia and Austria in second and third place, respectively. How did house prices change in 2023? Demand for housing remained strong in 2023, causing house prices to grow in almost all European countries. The United Kingdom was one of the few countries where home prices declined - a result of the soaring interest rates and cost of living crisis. Hungary was at the other side of the spectrum, with house prices surging by more than ** percent.
Public rental housing flat information including region, district, estate, block name, flat number, internal floor area and availability of elevator services.
The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts. Data are updated semiannually, at the end of the second and fourth quarters of each year. Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available. The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, which is derived from Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions. These files can be used to determine the change in legal housing units across time and space.