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Notes on Local Authority Housing Statistics (LAHS) open data
These datafiles contain the underlying data used to create the main LAHS tables and reflect the latest revisions to historical LAHS data. There will therefore be some minor discrepancies when compared to individual historical publications of LAHS tables.
LAHS questions are represented in this open data file by the question codes as recorded in the latest form (the 2023-24 return). This may differ from the code they were originally assigned, but the aim is to facilitate a time series analysis. Variables that have been discontinued are usually not included in this file, with only a few exceptions where they provide information that helps understand other data.
A data dictionary for this open data can be found in the accessible Open Document Spreadsheet file.<
A full time series of the data since 1978-79 is available alongside these tables. The next update is scheduled for January/February 2025.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">837 KB</span></p>
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Notes on Local Authority Housing Statistics (LAHS) 2023-24
Some figures in the main LAHS tables are calculated as weighted averages which cannot be
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.
This dataset denotes Public Housing Authority (PHA) office locations, contact information, and program availability. Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by over 3,300 housing agencies (HAs). HUD administers Federal aid to local housing agencies (HAs) that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments.
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.
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HUD furnishes technical and professional assistance in planning, developing and managing these developments. Public Housing Developments are depicted as a distinct address chosen to represent the general location of an entire Public Housing Development, which may be comprised of several buildings scattered across a community. The building with the largest number of units is selected to represent the location of the development. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Developments Date Updated: Q1 2025
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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. We are providing these files give the community of housing analysts the opportunity to use a consistent set of affordability measures.This data set appears to not be upated after 2013
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>
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.
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Notes on Local Authority Housing Stat
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.
Public rental housing flat information including region, district, estate, block name, flat number, internal floor area and availability of elevator services.
The feature set indicates the locations, and tenant characteristics of public housing development buildings for the San Francisco Bay Region. This feature set, extracted by the Metropolitan Transportation Commission, is from the statewide public housing buildings feature layer provided by the California Department of Housing and Community Development (HCD). HCD itself extracted the California data from the United States Department of Housing and Urban Development (HUD) feature service depicting the location of individual buildings within public housing units throughout the United States.
According to HUD's Public Housing Program, "Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by some 3,300 housing agencies. HUD administers federal aid to local housing agencies that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments.
HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This feature set provides the location, and resident characteristics of public housing development buildings.
Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes:
‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green)
‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green)
‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow)
‘T’ - Census tract centroid (low degree of accuracy, symbolized as red)
‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red)
‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red)
‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red)
Null - Could not be geocoded (does not appear on the map)
For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information, the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10.
HCD downloaded the HUD data in April 2021. They sourced the data from https://hub.arcgis.com/datasets/fedmaps::public-housing-buildings.
To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/.
In 2023, New York had the highest number of public housing units among all the states in the United States. The number of housing units in New York was approximately *******, more than three times higher than the next two states in the ranking, Pennsylvania and Puerto Rico. In contrast, Vermont had the lowest number of public housing units, at just *** units. Additionally, Wyoming and Idaho were among the states with notably limited housing units available for occupancy, each reporting fewer than 1,000 units.
The WA Housing Authority has developed a model to estimate demand for social and affordable housing at the LGA level. This is a snapshot of unmet demand as of Census night, 2011. It is based on data from the 2011 Census, information from the WA Housing Authority, and WA State Government population projections. Data from all sources is combined and assessed to produce a priority ranking at the following levels: - Public Housing, metropolitan area (LGA level) - Affordable Housing, metropolitan area (LGA level) - Public Housing, regional WA (LGA level) - Affordable Housing, regional WA (LGA level) Detailed methodology for the model is shown here in the attached paper
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Compendium of housing statistics covering all aspects of housing in England. Source agency: Communities and Local Government Designation: National Statistics Language: English Alternative title: Housing Statistics, England
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Starts and completions of affordable housing under HCA schemes.
Source agency: Communities and Local Government
Designation: Official Statistics not designated as National Statistics
Language: English
Alternative title: HCA Affordable Housing
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.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
Number of affordable housing completions (seasonally adjusted)
Total reported numbers of completions under the relevant programmes within the reporting period. Because delivery is seasonal and reflects funding profiles, with more starts and completions being reported in the second six months than are reported in the first six months, the current figures are compared back to the equivalent period of the year before rather than the preceding six months.
These are the most timely indicators on affordable housing delivery. Increasing the supply of affordable housing is a key part of DCLG policy.
Bi-annually, approximately June and November.
Homes and Communities Agency (HCA) - Investment Management System and other programme information. Published figures are at http://www.homesandcommunities.co.uk/housing-statistics.
Greater London Authority (GLA) - Investment Management System and other programme information. Published figures are at http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics.
England
Yes, can be split by type (social rent, affordable rent, intermediate rent, Low Cost Home Ownership) and by local authority area.
An increase in this indicator is good and shows more new affordable houses are being completed through the HCA and GLA.
Published within two months of the end of the reporting period.
June 2015.
Official Statistics.
http://www.homesandcommunities.co.uk/housing-statistics
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Number of affordable housing starts (seasonally adjusted)
Total reported numbers of starts under the relevant programmes within the reporting period. Because delivery is seasonal and reflects funding profiles, with more starts and completions being reported in the second six months than are reported in the first six months, the current figures are compared back to the equivalent period of the year before rather than the preceding six months.
These are the most timely indicators on affordable housing delivery. Increasing the supply of affordable housing is a key part of DCLG policy.
Bi-annually, approximately June and November.
Homes and Communities Agency (HCA) - Investment Management System and other programme information. Published figures are at http://www.homesandcommunities.co.uk/housing-statistics.
Greater London Authority (GLA) - Investment Management System and other programme information. Published figures are at http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics.
England
Yes, can be split by type (social rent, affordable rent, intermediate rent, Low Cost Home Ownership) and by local authority area.
An increase in this indicator is good and shows more new affordable houses are being started through the HCA and GLA.
Published within two months of the end of the reporting period.
June 2015.
Official Statistics.
With effect from 1 April 2014, affordable housing starts on site include the starts on site for new build homes purchased at completion. These have not been reported historically
http://www.homesandcommunities.co.uk/housing-statistics
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Notes on Local Authority Housing Statistics (LAHS) open data
These datafiles contain the underlying data used to create the main LAHS tables and reflect the latest revisions to historical LAHS data. There will therefore be some minor discrepancies when compared to individual historical publications of LAHS tables.
LAHS questions are represented in this open data file by the question codes as recorded in the latest form (the 2023-24 return). This may differ from the code they were originally assigned, but the aim is to facilitate a time series analysis. Variables that have been discontinued are usually not included in this file, with only a few exceptions where they provide information that helps understand other data.
A data dictionary for this open data can be found in the accessible Open Document Spreadsheet file.<