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.
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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.<
The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The primary purpose of CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income). CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes to a more comprehensive market analysis by documenting issues like lead paint risks, "affordability mismatch," and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building.This dataset is a special tabulation of the 2016-2020 American Community Survey (ACS) and reflects conditions over that time period. The dataset uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2016-2020 ACS income data. CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by County Date of Coverage: 2016-2020
Data provides current information regarding single family homes, and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.
The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.
The latest release on the supply of homes delivered by Homes England in England, excluding London except for delivery of programmes managed by Homes England on behalf of the Greater London Authority, were released on Tuesday 18 June 2019.
The Ministry of Housing, Communities and Local Government has combined the affordable housing statistics in this release with the Greater London Authority’s affordable housing statistics to produce affordable housing starts and completions for England.
These statistics are no longer updated by DCLG.
The equivalents of tables 581 to 588 are now published by the Office for National Statistics in the http://www.ons.gov.uk/peoplepopulationandcommunity/housing/bulletins/housepricestatisticsforsmallareas/previousReleases" class="govuk-link">house price statistics for small areas series and tables 576 to 578 in the https://www.ons.gov.uk/peoplepopulationandcommunity/housing/bulletins/housingaffordabilityinenglandandwales/previousReleases" class="govuk-link">housing affordability series.
Tables 531, 542, 563, 575 and 580 have been discontinued and are no longer being updated.
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Affordable housing production and preservation projects are managed by the Department of Housing and Community Development (DHCD), the Deputy Mayor for Planning and Economic Development (DMPED), the DC Housing Authority, the DC Housing Finance Agency and DC's Inclusionary Zoning program. This dataset comprehensively covers affordable housing projects which started (i.e. reached financial closing and/or started construction) or completed since January of 2015. The data includes affordable housing projects (production and preservation, rental and for-sale) which were subsidized by DMPED, DHCD, DCHFA, or DCHA, and those which were produced as a result of Planned Unit Development (PUD) proffers or Inclusionary Zoning (IZ) requirements.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Government current expenditures: State and local: Housing and community services (G161001A027NBEA) from 1959 to 2023 about community, state & local, expenditures, government, services, housing, GDP, and USA.
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This data, maintained by the Mayor’s Office of Housing (MOH), is an inventory of all income-restricted units in the city. This data includes public housing owned by the Boston Housing Authority (BHA), privately- owned housing built with funding from DND and/or on land that was formerly City-owned, and privately-owned housing built without any City subsidy, e.g., created using Low-Income Housing Tax Credits (LIHTC) or as part of the Inclusionary Development Policy (IDP). Information is gathered from a variety of sources, including the City's IDP list, permitting and completion data from the Inspectional Services Department (ISD), newspaper advertisements for affordable units, Community Economic Development Assistance Corporation’s (CEDAC) Expiring Use list, and project lists from the BHA, the Massachusetts Department of Housing and Community Development (DHCD), MassHousing, and the U.S. Department of Housing and Urban Development (HUD), among others. The data is meant to be as exhaustive and up-to-date as possible, but since many units are not required to report data to the City of Boston, MOH is constantly working to verify and update it. See the data dictionary for more information on the structure of the data and important notes.
The database only includes units that have a deed-restriction. It does not include tenant-based (also known as mobile) vouchers, which subsidize rent, but move with the tenant and are not attached to a particular unit. There are over 22,000 tenant-based vouchers in the city of Boston which provide additional affordability to low- and moderate-income households not accounted for here.
The Income-Restricted Housing report can be directly accessed here:
https://www.boston.gov/sites/default/files/file/2023/04/Income%20Restricted%20Housing%202022_0.pdf
Learn more about income-restricted housing (as well as other types of affordable housing) here: https://www.boston.gov/affordable-housing-boston#income-restricted
Government Code section 65400 requires that each city, county, or city and county, including charter cities, prepare an annual progress report (APR) on the status of the housing element of its general plan and progress in its implementation. This dataset includes information reported to the Department of Housing and Community Development (HCD) by local jurisdictions on their APR form. Additional information about annual progress reports (APR), including the form, instructions, and definition can be found on HCD’s website here: https://www.hcd.ca.gov/planning-and-community-development/annual-progress-reports.
Local authorities compiling this data or other interested parties may wish to see notes and definitions for house building which includes P2 full guidance notes.
Data from live tables 253 and 253a is also published as http://opendatacommunities.org/def/concept/folders/themes/house-building" class="govuk-link">Open Data (linked data format).
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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
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.
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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
Our interactive dashboard illustrates results and historical trends.
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The tables below provide statistics on the sales of social housing stock – whether owned by local authorities or private registered providers. The most common of these sales are by the Right to Buy (and preserved Right to Buy) scheme and there are separate tables for sales under that scheme.
The tables for Right to Buy, tables 691, 692 and 693, are now presented in annual versions to reflect changes to the data collection following consultation. The previous quarterly tables can be found in the discontinued tables section below.
From April 2005 to March 2021 there are quarterly official statistics on Right to Buy sales – these are available in the quarterly version of tables 691, 692 and 693. From April 2021 onwards, following a consultation with local authorities, the quarterly data on Right to Buy sales are management information and not subject to the same quality assurance as official statistics and should not be treated the same as official statistics. These data are presented in tables in the ‘Right to Buy sales: management information’ below.
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All the data contained in the Housing Summary Measures article.
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This layer contains information on deed restricted affordable rental housing projects in the City of San Jose - with funding committed to, under construction or completed. Data to be edited on a quarterly basis.
Data is published on Mondays on a weekly basis.
Data from live tables 120, 122, and 123 is also published as http://opendatacommunities.org/def/concept/folders/themes/housing-market" class="govuk-link">Open Data (linked data format).
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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.