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TwitterHomeless Shelter System Monthly Utilization This metric tracks the number of shelter beds used by individuals and families per month. Overnight shelters provide nightly shelter for individuals for up to 12 consecutive hours and do not serve families with children. Interim shelters house families and individuals for up to 120 days. DFSS coordinates activities and funding to increase the availability of permanent and supportive housing services in Chicago. DFSS funds community based agencies that provide services to persons and families who are homeless or at imminent risk of homelessness so they can sustain safe and secure housing in the effort to achieve self-sufficiency.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The National Service Provider List (NSPL) is a comprehensive list of emergency and transitional homeless shelters with permanent beds in Canada. It is updated on an annual basis by the Homelessness Policy Directorate of Housing, Infrastructure and Communities Canada (HICC). It includes information on bed capacity, location, and the clientele served by each service provider. The annual updates are made possible through collaborative efforts, relying on data contributions from service providers, communities, and various partners. This multifaceted information is gathered through a combination of primary and secondary research methods, as well as through collaborative data-sharing initiatives with jurisdictions utilizing the Homeless Individuals and Families Information System (HIFIS) or comparable administrative systems for tracking homelessness data. Related Reports and Statistics: -The Shelter Capacity Report: Housing, Infrastructure and Communities Canada (HICC) - Data analysis, reports and publications (infc.gc.ca) https://secure.infc.gc.ca/homelessness-sans-abri/reports-rapports/publications-eng.html -Statistics Canada. Table 14-10-0353-01 Homeless Shelter Capacity in Canada from 2016 to 2022, Housing, Infrastructure and Communities Canada (HICC) (statcan.gc.ca): https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1410035301
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TwitterThis data tracks the number of beds available for runaway and homeless youth and young adults as well as the number and percent vacant. Data include Crisis Shelters, Crisis Shelters HYA (Homeless Young Adults), Transitional Independent Living, and Transitional Independent Living HYA. For more information about programs, visit https://www1.nyc.gov/site/dycd/services/services.page and https://discoverdycd.dycdconnect.nyc/home. For the RHY Data Collection, please follow this link.
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TwitterHomeless Shelter Capacity in Canada, bed and shelter counts by target population and geographical location for emergency shelters, transitional housing, and domestic violence shelters.
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TwitterThis dataset provides information on individuals experiencing sheltered or unsheltered homelessness in the Austin/Travis County Continuum of Care (CoC) on a single night in January when the Point in Time (PIT) Count occurs. "Sheltered" homelessness refers to individuals residing in emergency shelter, safe haven, or transitional housing project types. Unsheltered homelessness refers to individuals with a primary nighttime residence that is a public or private place not designed for or ordinarily used as a regular sleeping accommodation for human beings, including a car, park, abandoned building, bus or train station, airport, or camping ground on the night designated for the count. This measure overlaps, but is different from, the annual count of sheltered homelessness in HMIS (SD23 Measure EOA.E.1b). Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/hjiv-t2tm Last Updated December 2020 with data for 2020 PIT Count.
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TwitterThis dataset provides information on individuals experiencing sheltered homelessness in the Austin/Travis County Continuum of Care (CoC) in a given fiscal year. "Sheltered" homelessness refers to individuals residing in emergency shelter, safe haven, or transitional housing project types. This measure overlaps, but is different from, the Point in Time (PIT) Count (SD23 Measure EOA.E.1a), which is a snapshot of both sheltered and unsheltered homelessness on one night in January. Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/2ejn-hrh2
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TwitterPresents the number of individuals for each shelter facility type by borough and community district
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TwitterData Prepared by Los Angeles Homeless Services AuthorityRevised July 29, 2019Homeless Count 2019 Dashboard MethodologyTotal number of people experiencing homelessness is the sum of (1) the sheltered population (the total number of people staying in emergency shelter, transitional housing, or safe haven programs on the night of the point-in-time count) and (2) the unsheltered population (the total number of people counted by volunteers and the estimated number of people sleeping in the dwellings counted by volunteers).
(1) The total number of people experiencing homelessness who slept in an emergency shelter, transitional housing, or safe haven program was reported to LAHSA by each provider and assigned to a census tract. For shelter programs with multiple scattered sites in the LA CoC, an administrative address is used for locating the sheltered population in this dashboard. Shelters that serve persons fleeing domestic or intimate partner violence are excluded due to confidentiality concerns. Persons receiving motel vouchers are excluded in this dashboard because the location of the motel is unknown.
(2) The total number of people experiencing homelessness who slept on the street or in a dwelling not meant for human habitation were counted by volunteers on January 22nd, 23rd, or 24th. 3,873 demographic survey interviews were conducted with persons experiencing unsheltered homelessness from December 2018 to March 2019 to describe the population’s demographics and approximate the number of people in each dwelling. The total persons in uninhabitable dwellings was estimated for each type (car, van, camper/RV, tent, or makeshift shelter) and was estimated at the SPA-level for individual and for family households and can be found on our website. Estimates of the people inside these dwellings was rounded to whole numbers for the purposes of this dashboard. Please visit our website for further information at www.lahsa.org.
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TwitterThis indicator presents available data at national level on the number of people reported by public authorities as homeless. Data are drawn from the OECD Questionnaire on Affordable and Social Housing (QuASH 2021, QuASH 2019, QuASH 2016) and other available sources. Overall, homelessness data are available for 36 countries (Table HC 3.1.1 in Annex I). Further discussion of homelessness can be found in the 2020 OECD Policy Brief, “Better data and policies to fight homelessness in the OECD”, available online (and in French). Discussion of national strategies to combat homelessness can be found in indicator HC3.2 National Strategies for combating homelessness. Comparing homeless estimates across countries is difficult, as countries do not define or count the homeless population in the same way. There is no internationally agreed definition of homelessness. Therefore, this indicator presents a collection of available statistics on homelessness in OECD, EU and key partner countries in line with definitions used in national surveys (comparability issues on the data are discussed below). Even within countries, different definitions of homelessness may co-exist. In this indicator, we refer only to the statistical definition used for data collection purposes. Detail on who is included in the number of homeless in each country, i.e. the definition used for statistical purposes, is presented in Table HC 3.1.2 at the end of this indicator. To facilitate comparison of the content of homeless statistics across countries, it is also indicated whether the definition includes the categories outlined in Box HC3.1, based on “ETHOS Light” (FEANTSA, 2018). Homelessness data from 2020, which are available for a handful of countries and cover at least part of the COVID-19 pandemic, add an additional layer of complexity to cross-country comparison. The homeless population estimate in this case depends heavily on the point in time at which the count took place in the year, the method to estimate the homeless (through a point-in-time count or administrative data, as discussed below), the existence, extent and duration of emergency supports introduced in different countries to provide shelter to the homeless and/or to prevent vulnerable households from becoming homeless (such as eviction bans). Where they are available, homeless data for 2020 are thus compared to data from the previous year in order to facilitate comparison with other countries.
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TwitterBC Stats (with partners at the Ministry of Housing, Ministry of Social Development and Poverty Reduction (SDPR), and BC Housing) has developed aggregated summary statistics estimating the homeless population in B.C. These estimates were derived from three administrative service use datasets from the Data Innovation Program (DIP): shelter use from BC Housing, social assistance payments from SDPR, demographic information from the Health medical service plan (MSP) central demographics file. The analytic definition of homelessness includes individuals who received income assistance with no fixed address for at least three consecutive months or those who visited a shelter at any time throughout the year. Estimates have been aggregated into four tables: * Annual estimates of the homeless population by age and gender * Annual estimates of the homeless population by chronicity category (chronic vs non-chronic homelessness) * Annual estimates of the homeless population by census division * Monthly estimates of the homeless population by service use (income assistance with no fixed address, shelter use, or both) \ Estimates are available for 2019-2022. Full methodology details are available in the Homeless Cohort Development - Technical Documentation resource.
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TwitterData Prepared by Los Angeles Homeless Services AuthorityRevised July 29, 2019Homeless Count 2019 Dashboard MethodologyTotal number of people experiencing homelessness is the sum of (1) the sheltered population (the total number of people staying in emergency shelter, transitional housing, or safe haven programs on the night of the point-in-time count) and (2) the unsheltered population (the total number of people counted by volunteers and the estimated number of people sleeping in the dwellings counted by volunteers).
(1) The total number of people experiencing homelessness who slept in an emergency shelter, transitional housing, or safe haven program was reported to LAHSA by each provider and assigned to a census tract. For shelter programs with multiple scattered sites in the LA CoC, an administrative address is used for locating the sheltered population in this dashboard. Shelters that serve persons fleeing domestic or intimate partner violence are excluded due to confidentiality concerns. Persons receiving motel vouchers are excluded in this dashboard because the location of the motel is unknown.
(2) The total number of people experiencing homelessness who slept on the street or in a dwelling not meant for human habitation were counted by volunteers on January 22nd, 23rd, or 24th. 3,873 demographic survey interviews were conducted with persons experiencing unsheltered homelessness from December 2018 to March 2019 to describe the population’s demographics and approximate the number of people in each dwelling. The total persons in uninhabitable dwellings was estimated for each type (car, van, camper/RV, tent, or makeshift shelter) and was estimated at the SPA-level for individual and for family households and can be found on our website. Estimates of the people inside these dwellings was rounded to whole numbers for the purposes of this dashboard.Please visit our website for further information at www.lahsa.org.
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TwitterThe data on this dashboard is divided into seven sections: demographics, housing pressures, housing supply, experiences of homelessness, shelter demand and occupancy, housing solutions, and the Centralized Wait List. Data for this dashboard was collected from a number of sources, including administrative data from the City of Ottawa, and publicly available data from Statistics Canada and the Canadian Mortgage and Housing Corporation, among other public data sources.Date Created: June 27th 2025 Update Frequency: Annually Last Reviewed: June 27th 2025Accuracy, Completeness, and Known Issues: The Housing Needs Assessment dashboard relies on data from Statistics Canada (Census), Canada Mortgage and Housing Corporation (CMHC), municipal administrative datasets, and local housing market information. Many data points include disaggregation by various demographic characteristics, including household characteristics, housing core need, the Point-in-Time count of people experiencing homelessness, shelter system capacity and demand sourced from the Homeless Individuals and Families Information System (HIFIS), and the Centralized Wait List. Some data points, such as average rent prices and housing stock amounts cannot be further aggregated using demographic characteristics. More information regarding data quality and methodology can be found within the full Housing Needs Assessment report.Attributes: The following data tables have been provided for the dataset, and are organized into themes.Demographics:Population by Age GroupHouseholdsImmigrant PopulationIncomeHousing Pressures:Housing CostsConsumer Price IndexVacancy RateHousing Supply:Housing DevelopmentHousing StockExperiences of Homelessness:Experiences of HomelessnessShelter Demand and Occupancy:Shelter Demand and CapacityShelter Average Length of StayHousing Solutions:Affordable and Supportive Units BuiltRent-Geared-to-Income and Housing BenefitsCentralized Wait List:Clients on Centralized Wait ListNew Centralized Wait List ApplicationsHoused from Centralized WaitlistData Steward: Liam McGuireData Steward Email: liam.mcguire@ottawa.caDepartment or Agency: Community and Social ServicesBranch/Unit: Housing Data, Research and Analytics Unit
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TwitterThis dataset includes the daily number of families and individuals residing in the Department of Homeless Services (DHS) shelter system and the daily number of families applying to the DHS shelter system.
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TwitterPresents the number of cases and individuals for each shelter case type by borough and community district
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TwitterHomeless Shelter System Monthly Utilization This metric tracks the number of shelter beds used by individuals and families per month. Overnight shelters provide nightly shelter for individuals for up to 12 consecutive hours and do not serve families with children. Interim shelters house families and individuals for up to 120 days. DFSS coordinates activities and funding to increase the availability of permanent and supportive housing services in Chicago. DFSS funds community based agencies that provide services to persons and families who are homeless or at imminent risk of homelessness so they can sustain safe and secure housing in the effort to achieve self-sufficiency.