The DC Housing Authority provides quality affordable housing to extremely low- through moderate-income households, fosters sustainable communities, and cultivates opportunities for residents to improve their lives. The following is a subset of the District Government Land (Owned, Operated, and or managed) dataset that include buildings with a "public housing" use type.

Homeless and domestic violence shelters in the northeast Texas region. Counties include Bowie, Cass, Delta, Franklin, Hopkins, Lamar, Morris, Red River, and Titus.If you are in an emergency or life-threatening situation, call 9-1-1Domestic Violence ResourcesTo contact the National Domestic Violence Hotline, call 1-800-799-7233 or text "START" to 88788 using your mobile device.To visit the National Domestic Violence Hotline website, go to thehotline.orgTexas Social ServicesTo find housing, healthcare information, food, and other social services, call 2-1-1 or 1-877-541-7905To visit the Texas Health and Human Services and 2-1-1 website, go to 211texas.orgArkansas Social ServicesTo find housing, healthcare information, food, and other social services in Arkansas, call 2-1-1To visit the Arkansas 2-1-1 website, go to arkansas211.orgATCOG Housing ProgramTo contact the ATCOG Housing Program specializing in the Section 8 Rental Assistance Program, call 903-832-8636 or visit atcog.org/housingReference in this site to any specific commercial product, process, service, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the Ark-Tex Council of Governments.For questions, problems, or more information, contact gis@atcog.orghttps://atcog.org/

This map shows households that spend 30 percent or more of their income on housing, a threshold widely used by many affordable housing advocates and official government sources including Housing and Urban Development. Census asks about income and housing costs to understand whether housing is affordable in local communities. When housing is not sufficient or not affordable, income data helps communities: Enroll eligible households in programs designed to assist them.Qualify for grants from the Community Development Block Grant (CDBG), HOME Investment Partnership Program, Emergency Solutions Grants (ESG), Housing Opportunities for Persons with AIDS (HOPWA), and other programs.When rental housing is not affordable, the Department of Housing and Urban Development (HUD) uses rent data to determine the amount of tenant subsidies in housing assistance programs.Map opens in Atlanta. Use the bookmarks or search bar to view other cities. Data is symbolized to show the relationship between burdensome housing costs for owner households with a mortgage and renter households:This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

Presence of social donors and number of social rental housing per municipality The map represents the situation as at 31/12/2009 (excluding collective structures) The number of main residences used to calculate the % of dwellings came from INSEE 2007. The 2009 Social Rental Park Survey is not yet available: an updated version of the map will be made available as soon as this survey is available Click on the information button (i) and then on a commune to get the information about the municipality. c_84_HLM_dones_geo_Values_Forc_LLS_cod C_communes_principals C_COMMUNE_light C_communes_principals_Tags

Data from the Birmingham City Council Housing team on council owned social housing stock.Data is provided at individual property level and shows the following property attributes;Heating typeConstruction dateAgeProperty typeOccupancy statusOwnerNumber of BedroomsSheltered typeArchitectureAffordable housingWard level geographic locationConstituency locationThe location for use in our mapping application will display the Ward.Data is updated weekly.

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.

The Scotland Heat Map includes information on the percentage of households in each 2011 Data Zone that are renting their home from a council or a housing association (socially renting). Alongside other heat map datasets, this data is used to identify areas suitable for measures to reduce carbon emissions from heating homes and other buildings. For example, through the creation of heat networks. The 2011 Census provides the total number of households and the number of socially rented households in each 2011 Data Zone. Scotland's census is carried out by National Records of Scotland. Boundaries for Data Zones are created by the Scottish Government. Census data and Data Zone boundaries are updated approximately every 10 years. The Scotland Heat Map is a tool to help plan for the reduction of carbon emissions from heat in buildings. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/ The Scotland's Census website provides details on how the census is carried out and information on accessing publicly available census data, including geographical areas: https://www.scotlandscensus.gov.uk/

Net change in housing units arising from new buildings, demolitions, or alterations for NYC City Council Districts since 2010. The NYC Department of City Planning’s (DCP) Housing Database provide the 2010 census count of housing units, the net change in Class A housing units since the census, and the count of units pending completion for commonly used political and statistical boundaries. These tables are aggregated from the DCP Housing Database, 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, and can be used to determine the change in legal housing units across time and space. All previously released versions of this data are available at a BYTES of the BIG APPLE- Archive

This project combines data extraction, predictive modeling, and geospatial mapping to analyze housing trends in Mercer County, New Jersey. It consists of three core components: Census Data Extraction: Gathers U.S. Census data (2012–2022) on median house value, household income, and racial demographics for all census tracts in the county. It accounts for changes in census tract boundaries between 2010 and 2020 by approximating values for newly defined tracts. House Value Prediction: Uses an LSTM model with k-fold cross-validation to forecast median house values through 2025. Multiple feature combinations and sequence lengths are tested to optimize prediction accuracy, with the final model selected based on MSE and MAE scores. Data Mapping: Visualizes historical and predicted housing data using GeoJSON files from the TIGERWeb API. It generates interactive maps showing raw values, changes over time, and percent differences, with customization options to handle outliers and improve interpretability. This modular workflow can be adapted to other regions by changing the input FIPS codes and feature selections.

This dataset comprises point data providing location details of all council owned residential dwellings within Bristol.

New Zonage “A/B/C” applicable from 01/10/2014 (Ministerial Decree of 01 August 2014).

The “A/B/C” zoning, created in 2003 at the time when Robien’s rental investment scheme was introduced, characterises the tension of the local real estate market, i.e. the adequacy of the demand for and the supply of available housing on a territory. It consists of five modalities ranging from the most tense (Abis) to the most relaxed (C).Franche-Comté is only affected by zones B2 and C. Several financial schemes use this zoning to determine the eligibility of territories for aid or to adjust their parameters (level of aid, ceiling of rents, etc.). These include the Intermediate Rental Investment Facility for Individuals (see Duflot Zoning), the Old Borloo, the Intermediate Rental Loan (PLI), the Zero Rate Loan (PTZ), the Social Accession Rental Loan (PSLA) and the Social Access Loan (PAS) to property, and the reduced rate VAT in the ANRU area.Some ANAH aid to social lenders is also linked to a ceiling on rent and the amount of resources of the tenant, which varies according to the zoning A/B/C. Following a consultation conducted by the Regional Prefect with the local authorities in the 4th quarter of 2013, the new zoning A/B/C was adopted by the Minister in charge of Housing on 1 August 2014. For Franche-Comté, 19 new municipalities were reclassified from C to B2, while no decommissioning was recorded. Its entry into force varies between 1 October 2014 and 1 February 2015 depending on the arrangements attached to it:

as of 1 October 2014 for: — the zero-rate loan; — the guarantee scheme of the FGAS; — the reduced rate VAT scheme for intermediate rental accommodation (279-0a A of the CGI); — the aid scheme for intermediate rental investment for private individuals (199 novitiies of the General Tax Code (CGI); — promises of sales of public land, pursuant to Article R. 3211-15 of the General Code of Ownership of Public Persons;

on 1 January 2015 for: — the benefit of aid from the National Housing Agency, the ‘old Borloo’ tax scheme; — the intermediate rental loan; — reduced VAT in ANRU area; — devices related to HLM promotion; — the assessment of resources for new intermediate dwellings held by HLML bodies in the context of their service of general economic interest;

as of 1 February 2015 for: — approvals of social loans for leasing-accession.

Data sources: order of the Minister of Housing dated 01 August 2014

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.

Location and profile of the Hong Kong Housing Authority’s public housing estates, shopping centres, flatted factories and courts sold under the Home Ownership Scheme (HOS) / Private Sector Participation Scheme (PSPS) / Sales of Green Form Subsidised Home Ownership Scheme (GSH).

This dataset contains lists of various kinds of assets (open prior to or as of March 1, 2020), derived from a variety of local, state, and federal data sources. Not all of this data has been verified. Some geocoding is either missing or incorrect. Improvements and updates are pending.

This data was assembled to support 2020 Census outreach efforts, and can also be used to support COVID-19 response efforts.

A companion map displaying this data has also been created to support Census outreach. It too is a work in progress, and we'll be adding new features in the coming weeks.

Types of assets reflected in the data include

Allegheny County Housing Authority community sites, Allegheny County Health Department clinics, affordable housing properties, apartment buildings, banks, barbershops, bars, bus stops, child care centers, coffee shops, community nonprofit organizations, dentists, doctor's offices, faith-based facilities, family support centers, farmers' markets, food banks, gas stations, hair salons, health centers, homeless shelters, laundromats, libraries, museums, nail salons, nursing homes, park and rides, parks and facilities, pharmacies, polling places, post offices, public buildings, recreation centers, restaurants, schools, senior centers, supermarkets, universities, VA facilities, veterans social orgs, WIC offices, and WIC vendors.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

This feature layer visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator

This database includes data used in the Project Connect Anti-Displacement Dashboard. The file includes 2020 decennial population and housing unit counts at the Block level, combined with 2020 ACS data at the Census Tract level that was used in the 2020 Displacement Risk map. To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories. The data sources include the 2020 Census, 2016-2020 ACS 5-year Estimates, and City of Austin Affordable Housing Inventory. This file also includes the total income restricted units from the Comprehensive Affordable Housing Directory (CAHD) and City of Austin Affordable Housing Inventory (AHI) as of 8.22.2022.

These data were developed by the Research & Analytics group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.For a deep dive into the data model including every specific metric, see the DHC 2020 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find geography definitions and user notes below.These are indicators built from the 2020 Decennial CensusThis is the second release based on the 2020 Census following the Redistricting Data release previously. The DHC release lets us drill deeper on age than the redistricting data (that only breaks at 0-17 and 18+). Additionally, we get some data on household type and housing tenure.Geographies AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage) ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit) ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit) BeltLineStatistical (buffer) BeltLineStatisticalSub (subareas) Census Tract (statewide) CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit) City (statewide) City of Atlanta Council Districts (City of Atlanta) City of Atlanta Neighborhood Planning Unit (City of Atlanta) City of Atlanta Neighborhood Statistical Areas (City of Atlanta) County (statewide) Georgia House (statewide) Georgia Senate (statewide) HSSA = High School Statistical Area (11 county region) MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit) Regional Commissions (statewide) State of Georgia (single geographic unit) Superdistrict (ARC region) US Congress (statewide) UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit) ZIP Code Tabulation Areas (statewide)Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2020Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/GARC::data-manifest-for-arc-census-demographic-and-housing-characteristics-dhc-2020-release/aboutFor more information, visit the US Census DHC Technical Documentation webpage.

This dataset contains data of non-market housing projects - both the buildings owned by City of Vancouver, and the buildings provided by other agencies. Non-market housing is for low and moderate income singles and families, often subsidized through a variety of ways, including senior government support. This housing is managed through various operators, including the public, non-profit, co-op, and urban indigenous sectors. Non-market housing is located throughout Vancouver in the forms of social, supportive, and co-op housing. This dataset includes temporary modular housing, which are demountable structures, not permanently affixed to land and assembled within months. The inventory does not include the following types of housing:Special Needs Residential Facilities - includes community care facilities providing licensed care services, and group residences providing housing as required by law, rehabilitative programs, or temporary housingSingle Room Accommodation - privately-owned single room occupancy (SRO) hotels, rooming houses, and other housing with rooms less than 320 square feet, typically featuring units with a basic cooking setup and shared bathroomsShelters - provide temporary beds, meals, and services to the city's homeless population NoteUnit total (and breakdown) of projects could change over the course of development and are not captured real timeHousing projects with "proposed", "approved" and "under construction" status may not contain unit number breakdown by "Design"Housing projects with "proposed", "approved" and "under construction" status may not contain information on operator names or typeUnit total is the sum of clientele groups (families, seniors, and others) Data currencyThis dataset is updated weekly. Data accuracyData for this dataset is amalgamated from a number of sources. It is possible that some information may not be shown because of data synchronization issues. There may be some loss of quality from data entry errors.Non-housing market projects for which geographic coordinates are not available yet will not show up on the map or in the spatial formats. For a complete list, please consult the XLS or CSV formats. Websites for further informationSocial and market rental housingFind social and co-op housing in Vancouver

Leeds City Council was selected as a pilot authority for the Government's brownfield land register project to help lead the way in bringing forward previously developed land for new homes. The Council worked with the Department for Communities and Local Government to help inform guidance on the operation of the brownfield registers. The registers will help house builders identify suitable sites quickly, speeding up the construction of new homes. The government has pledged to get planning permission in place on 90% of suitable brownfield sites for housing. To help achieve this goal, the government is to enable ‘permission in principle’ to be granted for housing-led development sites listed on new brownfield registers as part of the recent Housing and Planning Act 2016. The Council will have the final say on which sites are on the register and which sites will have permission in principle. When deciding on which sites to include in the register, the Council will consider the housing growth ambitions of the Core Strategy and Site Allocations Plan. As part of pilot project, the Council put together a register of suitable sites with a total capacity of over 30,000 new homes sourced from the Strategic Housing Land Availability Assessment (SHLAA). The new formal requirement is for the register to be kept in two parts. The Council has produced a formal Part 1 register and the accompanying map of sites is published before the annual 31 December deadline, this will be reviewed at least once a year. The map of sites is hosted here . Part 2 allows the Council to select sites from Part 1 and grant Permission in Principle (PIP) for housing-led development, after undertaking necessary requirements for publicity, notification and consultation. Entry onto Part 1 of the register does not guarantee that this site will progress onto Part 2 of the register or receive planning permission. Preparatory work on Part 2 commenced in 2018 and will continue in early 2019. The Council is welcoming comments from the public on the sites included in the register and asking landowners to put forward sites for consideration in the future register. The sites must be previously developed and able to accommodate 5 or more dwellings or be at least 0.25 hectares in size. If you would like to submit a site to the next register that you think could be developed for housing, please send details of the location and availability of the site including an outline plan to brownfieldlandregister@leeds.gov.uk .