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

The dataset is a catalog of major residential development projects in Somerset County, NJ. This includes Affordable Housing, Senior housing options, and Market-rate rentalsAffordable Housing Options: With New Jersey having some of the highest housing costs in the county, the state government has implemented several initiatives and programs to provide housing options for low- and moderate-income eligible households. In addition, several municipalities have implemented inclusionary zoning laws, that require property developers to allocate a certain percentage of the units for affordable housing. Somerset county has several affordable housing programs to help low-and moderate-income eligible households and first-time homebuyers, including the Mt. Laurel Doctrine, New Jersey Balanced Housing Program, HUD Public Housing Program, HUD Housing Choice Voucher Program (Section 8). This dataset provides a comprehensive list of all affordable housing projects in the county. The dataset includes ‘inclusionary’ developments that are comprised of both market-rate units and affordable units. It also includes municipality-sponsored and other 100% affordable housing projects, as well as affordable housing created through the redevelopment process. The total number of market rate and affordable housing units in each project is provided. Some projects include a blend of both rental and for-purchase units. Senior Housing Options: There are several housing options in Somerset County for older adults seeking assistance with daily living or those who want to maintain their independence or those who seek to live in communities designed for older adults. These options include – Active Adult Communities: These are communities designed for older adults who can live independently but want to live in a community specifically for older adults. They typically offer amenities such as fitness centers, swimming pools, and social activities. Many independent living communities also offer additional services such as transportation, housekeeping, and meals. Assisted Living Communities: These communities aid with daily living activities such as bathing, dressing, and medication management. They offer a range of services, depending on the level of care needed. Some assisted living communities also offer memory care services for individuals with dementia or Alzheimer's disease. Continuing Care Retirement Communities: These communities offer a continuum of care that includes independent living, assisted living, and skilled nursing care. This allows residents to "age in place" and receive additional care as needed without having to move to a different community. Senior Residence: These communities are restricted to residents who are 55 years of age or older. They typically offer amenities like active adult communities and may have additional features such as golf courses, community centers, and events. Market Rate Rentals: These properties are typically owned/operated by private landlords and are not considered affordable housing and are not subject to government subsidies. These include apartments, condominiums, town homes, single-family homes. The information included in this dataset represents a point-in-time (November 2023) and is subject to change. Furthermore, new, or alternative housing projects may be proposed in future years, which will be incorporated into subsequent dataset updates. Updates to this dataset will take place on an as-needed basis.

This dataset represents the number of low-income household achieving home ownership and affordable housing units funded.

The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.

This is a NorthernSTAR renovation project for Urban Homeworks incorporating installation of a combination space and water heater, Overcoat insulation retrofit on the roof, and Excavationless foundation insulation retrofit. STRUCTURE - 1401 North 16th Ave Minneapolis, MN 55411 Various groups from the affordable housing industry have consulted with the University of Minnesota's Cold Climate Housing Program to solve persistent energy and health-related problems such as ice dams, high energy bills, and mold/moisture issues-especially in complicated house types such as 1.5-story homes in cold climates. The NorthernSTAR Building America Partnership has completed multiple research projects on high-performance measures applied during renovation of single-family homes that could help the affordable housing industry address performance concerns. This demonstration project is an example of three high-performance measures applied to one house in Minneapolis, Minnesota. The selected vacant home was completely renovated by Urban Homeworks (UHW), which is a nonprofit housing partner, with the intent of selling the home to a low-income family. The renovation included the addition of the three advanced-performance technologies that were applied to the overall scope of the project. Single-family homes in urban areas that are available for renovation by nonprofit developers are often in need of repair. Budgeting has historically focused on improving homes to meet basic housing standards. A rising interest in the long-term impact of homeownership has introduced the need to balance basic needs with home performance. The goal of this demonstration project was to help UHW and other nonprofit developers become familiar with three U.S. Department of Energy Building America performance measures-including the installation processes, impacts, and benefits of each. To maximize efficiency of application and to address budget issues, the NorthernSTAR team worked with UHW to identify ways to use volunteers and construction training programs to install the measures. An open invitation to visit the job site was provided to other nonprofit developers and support teams to encourage dialog about the systems during live installation.

A. SUMMARY This dataset shows all projects that satisfied their Inclusionary Housing requirements through one of the options other than on-site affordable units, although some of these projects met requirements through a combination of options that included on-site units. B. HOW THE DATASET IS CREATED Developments of 10 or more units that are subject to Planning Code Section 415 fall under the City's Inclusionary Affordable Housing program. Section 415 requires that developers include affordable units on-site or alternatively pay a fee or dedicate land to MOHCD, or build affordable units at another _location (off-site). C. UPDATE PROCESS This dataset will be updated on an as needed basis. D. RELATED DATASETS MOHCD Affordable Housing Pipeline Portfolio

Thumbnail image by Tony Moody.This dataset includes all housing developments approved by the City of Boise’s (“city”) Planning Division since 2020 that are known by the city to have received or are expected to receive support or incentives from a government entity. Each row represents one development. Data may be unavailable for some projects and details are subject to change until construction is complete. Addresses are excluded for projects with fewer than five homes for privacy reasons.

The dataset includes details on the number of “homes” in a development. We use the word "home" to refer to any single unit of housing regardless of size, type, or whether it is rented or owned. For example, a building with 40 apartments counts as 40 homes, and a single detached house counts as one home.

The dataset includes details about the phase of each project. The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

The dataset also includes data on the affordability level of each development. To receive a government incentive, a developer is typically required to rent or sell a specified number of homes to households that have an income below limits set by the government and their housing cost must not exceed 30% of their income. The federal government determines income limits based on a standard called “area median income.” The city considers housing affordable if is targeted to households earning at or below 80% of the area median income. For a three-person household in Boise, that equates to an annual income of $60,650 and monthly rent or mortgage of $1,516. See Boise Income Guidelines for more details.Project Address(es) – Includes all addresses that are included as part of the development project.Address – The primary address for the development.Parcel Number(s) – The identification code for all parcels of land included in the development.Acreage – The number of acres for the parcel(s) included in the project.Planning Permit Number – The identification code for all permits the development has received from the Planning Division for the City of Boise. The number and types of permits required vary based on the location and type of development.Date Entitled – The date a development was approved by the City’s Planning Division.Building Permit Number – The identification code for all permits the development has received from the city’s Building Division.Date Building Permit Issued – Building permits are required to begin construction on a development.Date Final Certificate of Occupancy Issued – A certificate of occupancy is the final approval by the city for a development, once construction is complete. Not all developments require a certificate of occupancy.Studio – The number of homes in the development that are classified as a studio. A studio is typically defined as a home in which there is no separate bedroom. A single room serves as both a bedroom and a living room.1-Bedroom – The number of homes in a development that have exactly one bedroom.2-Bedroom – The number of homes in a development that have exactly two bedrooms.3-Bedroom – The number of homes in a development that have exactly three bedrooms.4+ Bedroom – The number of homes in a development that have four or more bedrooms.# of Total Project Units – The total number of homes in the development.# of units toward goals – The number of homes in a development that contribute to either the city’s goal to produce housing affordable at or under 60% of area median income, or the city’s goal to create permanent supportive housing for households experiencing homelessness.Rent at or under 60% AMI - The number of homes in a development that are required to be rented at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 61-80% AMI – The number of homes in a development that are required to be rented at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 81-120% AMI - The number of homes in a development that are required to be rented at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Own at or under 60% AMI - The number of homes in a development that are required to be sold at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 61-80% AMI – The number of homes in a development that are required to be sold at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 81-120% AMI - The number of homes in a development that are required to be sold at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Housing Land Trust – “Yes” if a development receives or is expected to receive this incentive. The Housing Land Trust is a model in which the city owns land that it leases to a developer to build affordable housing.City Investment – “Yes” if the city invests funding or contributes land to an affordable development.Zoning Incentive - The city's zoning code provides incentives for developers to create affordable housing. Incentives may include the ability to build an extra floor or be subject to reduced parking requirements. “Yes” if a development receives or is expected to receive one of these incentives.Project Management - The city provides a developer and their design team a single point of contact who works across city departments to simplify the permitting process, and assists the applicants in understanding the city’s requirements to avoid possible delays. “Yes” if a development receives or is expected to receive this incentive.Low-Income Housing Tax Credit (LIHTC) - A federal tax credit available to some new affordable housing developments. The Idaho Housing and Finance Association is a quasi-governmental agency that administers these federal tax credits. “Yes” if a development receives or is expected to receive this incentive.CCDC Investment - The Capital City Development Corp (CCDC) is a public agency that financially supports some affordable housing development in Urban Renewal Districts. “Yes” if a development receives or is expected to receive this incentive. If “Yes” the field identifies the Urban Renewal District associated with the development.City Goal – The city has set goals to produce housing affordable to households at or below 60% of area median income, and to create permanent supportive housing for households experiencing homelessness. This field identifies whether a development contributes to one of those goals.Project Phase - The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

This research studies the potential of bikeshare services to bridge the gap between Affordable Housing Communities (AHC) and transit services to improve transport accessibility for the residents. In doing so, the study develops an agent-based simulation optimization modeling (ABM) framework for the optimal design of the bikesharing station network considering improving accessibility as the objective. The study discusses measures of accessibility and uses travel times in a multi-modal network. Focusing on the city of Sacramento, CA, the study gathered information related to affordable housing communities, detailed transit services, demographic information, and other relevant data. This ABM framework is used to run three stages of travel demand modeling: trip generation, trip distribution, and mode split to find the travel time differences under the availability of new bikesharing stations. The model is solved with a genetic algorithm approach. The results of the optimization and ABM- based simulation indicate the share of bike and bike & transit trips in the network under different scenarios. Key results indicate that about 60% of the AHCs are within 25-minute active travel time when the number of stations ranges from 25 to 75, and when the number of stations is increased to 100, most AHCs are within 40 mins of active mode distance and all of them are less than an hour away. In terms of accessibility, for example, having a larger network of stations (e.g., 100) increases by 70% the number of Points of Interest (for work, health, recreation, and other) within a 30-minute travel time. This report then provides some general recommendations for the planning of the bikesharing network considering information about destination choices as well as highlighting the past and current challenges in housing and transit planning. Methods The dataset for this study was collected from various sources including Affordable Housing Communities Data, demographic information from the American Community Survey, OpenStreetMap road network, Points of Interest (POIs) data, General Transit Feed Specification (GTFS) data, and Longitudinal Employer-Household Dynamics (LEHD) data. You will need to download all the data from their sources except for the LEHD data. The data was collected from the Sacramento Housing and Redevelopment Agency and the office of the State Treasurer which maintains a list of affordable housing projects. The data was then processed to identify and eliminate duplicates and old projects that were scrapped. The final list consisted of 149 affordable housing projects spread across the city. Demographic information like household income, number of family and non-family households, and number of occupied and vacant housing units were sourced from the 5-year estimates of 2020 American Community Survey data. The LEHD Origin-Destination Employment Statistics or LODES data were used to identify origin-destination matrix with census blocks with residences/homes as the origin and the census blocks with workplaces/ offices as the destination. Bike and Walk Network Data from OpenStreetMap and POIs Data from OpenStreetMap were also used in the study.

As part of a commitment to drive greater transparency and accountability for the delivery of social housing across the country, Minister for Housing, Planning & Local Government Eoghan Murphy today (20 February, 2019) published social housing delivery figures for the high-level programmes of build, acquisition, leasing, HAP and RAS for all 31 local authorities. In 2018, delivery against target has been published, on a quarterly basis, on the Rebuilding Ireland website and the full year of activity by each local authority can now be reviewed on the website. Overall, the target for social housing delivery in 2018, under Rebuilding Ireland, was exceeded by 6% and the housing needs of over 27,103 households were met. Of note is the following: * 8,422 new homes were brought into the active social housing stock through build, acquisitions, voids and leasing programmes in 2018. (4,251 build; 560 renovated voids; 2,610 acquisitions & 1,001 long-term leased). * There was an 85% increase in new build social homes in 2018 when compared to 2017 (excluding voids). * The number of new social housing homes built in 2018 was eight times greater than the number built in 2015, the year before Rebuilding Ireland (excluding voids). * Construction figures from December 2018 show almost 5,000 new social housing homes currently being built across 291 sites and this is being added to on a weekly basis. * 38% delivered by AHB’s in partnership with local authorities. * New build and long term leasing is helping us move away from HAP solutions as demonstrated by the fact that new HAP solutions did not increase significantly in 2018, but all other delivery streams did. At last week’s Housing Summit Minister Murphy took the opportunity to discuss individual rates of delivery for each local authority against their target and also stressed the need to further accelerate and enhance delivery pipelines, in particular new-build activity. Minister Murphy again reaffirmed the Department of Housing, Planning and Local Government commitment to supporting local authorities and Approved Housing Bodies deliver much-needed homes across the country. He emphasised that funding and resources are not an issue and that any delivery targets set for local authorities are minimum targets and stressed the importance of each local authority doing as much as possible. In Galway, where there are significant delivery challenges, Minister Murphy is establishing a Galway Housing Delivery Task Force, which will be chaired by Ms. Geraldine Tallon, former Secretary General. Ms. Tallon currently chairs the Cork Housing Delivery Task Force, which has supported Cork City Council deliver 117% of their build target and Cork County Council 126% of their build target.

Policy 28: Affordable Housing Contributions dataset included in the Brecon Beacons National Park Local Development Plan.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

This dataset supports the 2013-2014 annual report of the Department of Human Services, which details how the department met its objectives and highlights key achievements for the reporting period. …Show full descriptionThis dataset supports the 2013-2014 annual report of the Department of Human Services, which details how the department met its objectives and highlights key achievements for the reporting period. This particular dataset is additional information providing a summary of Social housing data including, public rental housing, public housing client profiles, rental stock, stock management program activities, social housing dwellings and changes to Director-owned dwellings during 2013–14, Social housing assistance focuses on providing adequate, affordable and accessible housing targeted to those in greatest need, delivered cost-effectively and in coordination with support services where required. Social housing assistance is provided on a long or short-term basis. Long-term social housing assistance includes public rental accommodation, community-managed housing in Director-owned properties and community-owned stock for designated client groups and rental accommodation for low income Victorians with identified support needs. Long-term public rental housing also includes movable units. In recent years, housing assistance has been increasingly targeted to people in greatest need. Targeting to high need groups has impacts in terms of stock turnover and costs. Short-term social housing is provided to Victoria’s homeless individuals and families. Clients are assisted under the Crisis Supported Accommodation and Transitional Housing Management programs.

Public feedback submitted to the Ontario Seniors' Secretariat.

The data measures public satisfaction with the information on seniors' programs and services contained in "A Guide to Programs and Services for Seniors in Ontario".

Note:- Only publicly available data can be worked upon

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This dataset supports the 2013-2014 annual report of the Department of Human Services, which details how the department met its objectives and highlights key achievements for the reporting period. This particular dataset is additional information providing a summary of Social housing data including, public rental housing, public housing client profiles, rental stock, stock management program activities, social housing dwellings and changes to Director-owned dwellings during 2013–14,

Social housing assistance focuses on providing adequate, affordable and accessible housing targeted to those in greatest need, delivered cost-effectively and in coordination with support services where required. Social housing assistance is provided on a long or short-term basis.

Long-term social housing assistance includes public rental accommodation, community-managed housing in Director-owned properties and community-owned stock for designated client groups and rental accommodation for low income Victorians with identified support needs. Long-term public rental housing also includes movable units.

In recent years, housing assistance has been increasingly targeted to people in greatest need. Targeting to high need groups has impacts in terms of stock turnover and costs.

Short-term social housing is provided to Victoria’s homeless individuals and families. Clients are assisted under the Crisis Supported Accommodation and Transitional Housing Management programs.

The data is used to create reference and thematic maps

The Special Needs Strategy was launched in February 2014 to improve services for children and youth with special needs and their families.

Its three key areas include:

• identifying kids' needs earlier and connecting them to the right help sooner

• coordinating service planning

• making the delivery of rehabilitation services seamless

Details of applications for social housing as at specified date, including type of assistance required, program type, application date and level of assessed housing need.

Note: 1) In 2019-20, the department implemented new technology information systems which has resulted in some changes to data structures and coding. Data comparison across years may be impacted. 2) Local Government Authority and State Electorate are determined based on the applicant's first locational preference.

The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.

A novel and comprehensive cross-sectional dataset (2017) was developed to document and measure municipal supportive housing policy choices and key political factors associated with these choices. The dataset is comprised of 232 municipalities of 354 municipal continuums of care (CoCs) from the HUD 2016 CoC database in order to control for cities directly receiving federal homeless funding. The final sample accounts for 66 percent of all CoCs in the U.S. Municipalities were chosen based on their inclusion in the HUD 2016 Point in Time (PIT) count survey, therefore selecting municipalities with a CoC that are receiving federal funding for homelessness solutions. This is a comprehensive, cross-sectional dataset of municipalities across the United States that includes measures of local homeless policies; measures of local political indicators including local policy conservatism, fragmentation, municipal governmental structure; other relevant social policies (Sanctuary City status, Medicaid expansion, state level supportive housing policy); local demographic characteristics; local economic factors.

This dataset, released February 2021, contains housing and transport statistics relating to the Households in dwellings receiving rent assistance from the Australian Government, June 2020; Aboriginal households in dwellings receiving rent assistance from the Australian Government, June 2016; Persons living in rented social housing dwellings, 2016; Social housing (rented) dwellings, 2016; Persons living in privately rented dwellings, 2016; Privately rented dwellings, 2016; Low income households with mortgage stress, 2016; Low income households with rental stress, 2016; Low income households under financial stress from mortgage or rent, 2016; Low income households, 2016; Housing suitability, 2016; Private dwellings with no motor vehicle, 2016; Persons living in crowded dwellings, 2016; Persons living in severely crowded dwellings, 2016; Aboriginal persons living in crowded dwellings, 2016; Aboriginal persons living in severely crowded dwellings, 2016. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Compiled by PHIDU based on data from the Department of Social Services, June 2020; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on data from the Department of Social Services, June 2016; and the ABS Census: Dwellings, 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016 (unpublished) data;