15 datasets found
  1. Number of residents in homeless shelters by province and shelter type Canada...

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Number of residents in homeless shelters by province and shelter type Canada 2016 [Dataset]. https://www.statista.com/statistics/1155037/number-residents-homeless-shelters-canada-type-province/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Canada
    Description

    In 2016, there were ***** residents in shelters for persons lacking a fixed address in Ontario, while there were ten residents in shelters for abused women and their children in Prince Edward Island.

  2. Number of residents in homeless shelters by province Canada 2016

    • statista.com
    Updated Apr 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2019). Number of residents in homeless shelters by province Canada 2016 [Dataset]. https://www.statista.com/statistics/1155023/number-residents-homeless-shelters-canada-type-province/
    Explore at:
    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Canada
    Description

    In 2016, the number of residents in homeless shelters in Canada varied by province. In that year, there were ***** residents in all homeless shelters in Ontario, compared to ** in Nunavut.

  3. a

    Homelessness Registry By Name List

    • maps-cityofkingston.hub.arcgis.com
    Updated Jan 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The City of Kingston (2025). Homelessness Registry By Name List [Dataset]. https://maps-cityofkingston.hub.arcgis.com/datasets/cityofkingston::homelessness-registry-by-name-list/explore
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    The City of Kingston
    Description

    The By-Name List was created through Built for Zero Canada (https://bfzcanada.ca/by-name-lists/) and is powered by the Canadian Alliance to End Homelessness (CAEH). The By-Name List is a collaborative effort through various local agencies to use real-time data to reduce and prevent homelessness to provide streamlines access to available support. Although data is collected in real-time this data set provides an aggregated monthly update.

  4. f

    Percent distribution of homeless individuals by duration of homelessness,...

    • figshare.com
    xls
    Updated Jul 24, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Megan Odd; Amir Erfani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by duration of homelessness, according to selected characteristics, Nipissing District, Ontario 2021.

  5. Federal funding for housing and homelessness

    • open.canada.ca
    • datasets.ai
    html, xlsx
    Updated Nov 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Ontario (2025). Federal funding for housing and homelessness [Dataset]. https://open.canada.ca/data/en/dataset/0e87b89b-2c1c-42d6-a950-348a01d1f766
    Explore at:
    xlsx, htmlAvailable download formats
    Dataset updated
    Nov 12, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2000 - Mar 31, 2014
    Description

    The amount of federal funding provided to Ontario and its communities for housing and homelessness programs. Funds are itemized by program. The federal government provides funding to provinces / territories for affordable and social housing programs through the Canada Mortgage and Housing Corporation. Current programs include social housing and the Investment in Affordable Housing Program. Projections for 2014-15 and beyond are also included.

  6. u

    Deaths of People Experiencing Homelessness - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Deaths of People Experiencing Homelessness - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/city-toronto-deaths-of-people-experiencing-homelessness
    Explore at:
    Dataset updated
    Oct 19, 2025
    Description

    Starting in January 2017, Toronto Public Health (TPH) began tracking the deaths of people experiencing homelessness to get a more accurate estimate of the number of deaths and their causes. TPH leads the data collection, analysis and reporting. The Shelter, Support and Housing Administration (SSHA) and health and social service agencies that support people experiencing homelessness share information about a death with TPH and the Office of the Chief Coroner of Ontario (OCCO) verifies some of the data. For this data collection initiative, homelessness is defined as “the situation of an individual or family without stable, permanent, appropriate housing, or the immediate prospect, means and ability of acquiring it”.

  7. Number of homelessness support sector workers in Canada, by province 2016

    • statista.com
    Updated Sep 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2019). Number of homelessness support sector workers in Canada, by province 2016 [Dataset]. https://www.statista.com/statistics/1154832/number-homeless-support-sector-workers-canada-province/
    Explore at:
    Dataset updated
    Sep 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Canada
    Description

    In 2016, the number of homeless support sector workers in Canada varied across all provinces. In that year, Ontario had the highest number of homeless support sector workers, having had ***** employees.

  8. Adjusted odds ratios (and 95% confidence intervals) from binary logistic...

    • figshare.com
    xls
    Updated Jul 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Megan Odd; Amir Erfani (2024). Adjusted odds ratios (and 95% confidence intervals) from binary logistic regression of ever experiencing housing loss due to "housing/financial loss", "health issues", and "interpersonal/family issues" by selected characteristics among homeless individuals (N = 207), Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nipissing District, Ontario
    Description

    Adjusted odds ratios (and 95% confidence intervals) from binary logistic regression of ever experiencing housing loss due to "housing/financial loss", "health issues", and "interpersonal/family issues" by selected characteristics among homeless individuals (N = 207), Nipissing District, Ontario 2021.

  9. Percent distribution of homeless individuals by sleeping location, according...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by sleeping location, according to selected characteristics, Nipissing District, Ontario 2021.

  10. Percent distribution of homeless individuals by reason for housing loss,...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Megan Odd; Amir Erfani (2024). Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0305485.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Odd; Amir Erfani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nipissing District, Ontario
    Description

    Percent distribution of homeless individuals by reason for housing loss, according to selected characteristics, Nipissing District, Ontario 2021.

  11. u

    Federal funding for housing and homelessness - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Federal funding for housing and homelessness - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-0e87b89b-2c1c-42d6-a950-348a01d1f766
    Explore at:
    Dataset updated
    Oct 19, 2025
    Area covered
    Canada
    Description

    The amount of federal funding provided to Ontario and its communities for housing and homelessness programs. Funds are itemized by program. The federal government provides funding to provinces / territories for affordable and social housing programs through the Canada Mortgage and Housing Corporation. Current programs include social housing and the Investment in Affordable Housing Program. Projections for 2014-15 and beyond are also included.

  12. u

    2021 Street Needs Assessment Results - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). 2021 Street Needs Assessment Results - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/city-toronto-2021-street-needs-assessment-results
    Explore at:
    Dataset updated
    Oct 19, 2025
    Description

    The Street Needs Assessment (SNA) is a survey and point-in-time count of people experiencing homelessness in Toronto conducted in April, 2021 led by the City’s Toronto Shelter and Support Services (TSSS) in collaboration with community partners in the homelessness sector. The results provide a snapshot of the scope and profile of people experiencing homelessness in Toronto and give people experiencing homelessness a voice in the services they need to find and keep housing. The 2021 SNA is the City's fifth count and survey of people experiencing homelessness in Toronto and was part of a coordinated point-in time count conducted by communities across Canada and Ontario. The 2021 results provide critical data needed to understand the impact of the pandemic on homelessness, and to understand broader service needs of people experiencing homelessness in Toronto. The results of the 2021 Street Needs Assessment were summarized in a report and key highlights slide deck the can be found here. The 2021 SNA involved a 34 core question survey completed by 2,629 individuals staying outdoors and in encampments, in City-administered shelters and shelter hotels (including COVID-19 response sites and the isolation/recovery site), 24-hour respite sites (including 24-hour women’s drop-ins and winter services in operation), as well as provincially-administered Violence Against Women shelters. The SNA does not include people who are experiencing hidden homelessness, such as people who are temporarily staying with others. Surveys in indoor shelter locations were conducted over a period of one week (April 19-23, 2021) and the outdoor survey was conducted on April 27, 2021. This dataset includes the SNA survey results; it does not include the count of people experiencing homelessness in Toronto. Information about the count can be found in the results report.

  13. f

    Sample semi-structured interview questions.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ward, Brooklyn; Marshall, Carrie Anne; Allen, Jessica; Javadizadeh, Elham; Easton, Corinna; Perez, Shauna; Goldszmidt, Rebecca; Plett, Patti (2025). Sample semi-structured interview questions. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002034325
    Explore at:
    Dataset updated
    May 22, 2025
    Authors
    Ward, Brooklyn; Marshall, Carrie Anne; Allen, Jessica; Javadizadeh, Elham; Easton, Corinna; Perez, Shauna; Goldszmidt, Rebecca; Plett, Patti
    Description

    Having access to good quality housing is a key determinant of well-being. Little is known about experiences of housing quality following homelessness from the perspectives of persons with lived experience. To build on existing literature, we conducted a secondary analysis of qualitative interviews with 19 individuals who had experiences of transitioning to housing following homelessness. Interview transcripts were drawn from a community-based participatory research study exploring the conditions needed for thriving following homelessness in Ontario, Canada. We analyzed these transcripts using reflexive thematic analysis. We coded transcripts abductively, informed by theories of social justice and health equity. Consistent with reflexive thematic analysis, we identified a central essence to elucidate experiences of housing quality following homelessness: “negotiating control within oppressive structural contexts.” This was expressed through four distinct themes: 1) being forced to live in undesirable living conditions; 2) stuck in an unsafe environment; 3) negotiating power dynamics to attain comfort and safety in one’s housing; and 4) having access to people and resources that create home. Overall, our findings indicate that attaining good quality housing following homelessness is elusive for many and influenced by a range of structural factors including ongoing poverty following homelessness, a lack of deeply affordable housing stock, and a lack of available social support networks. To prevent homelessness, it is essential to improve access to good quality housing that can support tenancy sustainment and well-being following homelessness. Policymakers need to review existing housing policies and reflect on how over-reliance on market housing has imposed negative impacts on the lives of persons who are leaving homelessness. Given the current economic context, it is imperative that policymakers devise policies that mitigate the financialization of housing, and result in the restoration of the social housing system in Canada and beyond.

  14. Participant characteristics (n = 19).

    • plos.figshare.com
    xls
    Updated May 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Carrie Anne Marshall; Patti Plett; Jessica Allen; Corinna Easton; Rebecca Goldszmidt; Elham Javadizadeh; Shauna Perez; Brooklyn Ward (2025). Participant characteristics (n = 19). [Dataset]. http://doi.org/10.1371/journal.pmen.0000297.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Carrie Anne Marshall; Patti Plett; Jessica Allen; Corinna Easton; Rebecca Goldszmidt; Elham Javadizadeh; Shauna Perez; Brooklyn Ward
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Having access to good quality housing is a key determinant of well-being. Little is known about experiences of housing quality following homelessness from the perspectives of persons with lived experience. To build on existing literature, we conducted a secondary analysis of qualitative interviews with 19 individuals who had experiences of transitioning to housing following homelessness. Interview transcripts were drawn from a community-based participatory research study exploring the conditions needed for thriving following homelessness in Ontario, Canada. We analyzed these transcripts using reflexive thematic analysis. We coded transcripts abductively, informed by theories of social justice and health equity. Consistent with reflexive thematic analysis, we identified a central essence to elucidate experiences of housing quality following homelessness: “negotiating control within oppressive structural contexts.” This was expressed through four distinct themes: 1) being forced to live in undesirable living conditions; 2) stuck in an unsafe environment; 3) negotiating power dynamics to attain comfort and safety in one’s housing; and 4) having access to people and resources that create home. Overall, our findings indicate that attaining good quality housing following homelessness is elusive for many and influenced by a range of structural factors including ongoing poverty following homelessness, a lack of deeply affordable housing stock, and a lack of available social support networks. To prevent homelessness, it is essential to improve access to good quality housing that can support tenancy sustainment and well-being following homelessness. Policymakers need to review existing housing policies and reflect on how over-reliance on market housing has imposed negative impacts on the lives of persons who are leaving homelessness. Given the current economic context, it is imperative that policymakers devise policies that mitigate the financialization of housing, and result in the restoration of the social housing system in Canada and beyond.

  15. f

    Table_1_“I feel like I don't matter because of my status as a person”— A...

    • frontiersin.figshare.com
    docx
    Updated Jul 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Melanie Walker; Meredith MacKenzie; Stuart L. Douglas; Amanda Collier; Jodie Pritchard; Sharleen Hoffe; Patrick A. Norman; Eva Purkey; David Messenger; Susan A. Bartels (2024). Table_1_“I feel like I don't matter because of my status as a person”— A mixed-methods, cross-sectional study of emergency department care experiences among equity-deserving groups in Ontario, Canada.DOCX [Dataset]. http://doi.org/10.3389/femer.2024.1397597.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Frontiers
    Authors
    Melanie Walker; Meredith MacKenzie; Stuart L. Douglas; Amanda Collier; Jodie Pritchard; Sharleen Hoffe; Patrick A. Norman; Eva Purkey; David Messenger; Susan A. Bartels
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ontario, Canada
    Description

    BackgroundEquity-deserving groups (EDGs) have increased emergency department (ED) use, and often report negative ED care. Past studies have largely been qualitative and suffer from methodological bias and lack of comparison groups, thereby limiting their identification of interventions to ensure equitable care among equity-deserving populations. This study sought to better understand ED care experiences among EDGs in our local setting.Materials and methodsWe conducted a community-engaged, mixed-methods cross-sectional study using sensemaking methodology at the Kingston Health Sciences Centre's ED and Urgent Care Centre (Ontario, Canada), as well as at community partner organizations. From June-August 2021, eligible participants were invited to complete a survey about an ED care experience within the previous 24 months. Multiple-choice questions collected demographic/ED visit information including self-identification with up to three EDGs (Indigenous; having a disability; experiencing mental health concerns; persons who use substances (PWUS); 2SLGBTQ+; people who experience homelessness (PWEH); a visible minority; or having experienced violence). We evaluated differences in overall ED care experiences by EDG self-identification using chi-squared tests. Quantitative analysis of survey questions disaggregated by EDG status, and a thematic analysis of participant experiences are presented.ResultsOverall, 1,973 unique participants completed the survey (949 controls and 994 EDGs) sharing 2,114 ED care experiences in total. Participants who identified as PWUS, having mental health concerns, 2SLGBTQ+, PWEH, or having a disability, reported more negative overall experiences (p < 0.001). Compared with controls, each of the eight EDGs were statistically more likely to report feelings of judgement/disrespect, that there was too little attention paid to their needs (p < 0.001), and that it was more important to be treated with kindness/respect than to receive the best possible care (p < 0.001). Thematic analysis supported quantitative findings and identified four themes: stigma/judgement, poor staff communication, lack of compassionate care, and patients feeling unsupported.DiscussionNegative ED care experiences were pervasive among EDGs including feelings of judgement/stigma and a perception that a better understanding of personal situation/identity/culture was needed to improve care. Qualitative findings identified the following future interventions: universal trauma-informed care, improved care for addiction/substance use, and improved access to mental health care resources.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Number of residents in homeless shelters by province and shelter type Canada 2016 [Dataset]. https://www.statista.com/statistics/1155037/number-residents-homeless-shelters-canada-type-province/
Organization logo

Number of residents in homeless shelters by province and shelter type Canada 2016

Explore at:
Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2016
Area covered
Canada
Description

In 2016, there were ***** residents in shelters for persons lacking a fixed address in Ontario, while there were ten residents in shelters for abused women and their children in Prince Edward Island.

Search
Clear search
Close search
Google apps
Main menu