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The Risk of Homelessness

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Dublin Region Housing Executive
Research and Data Advisory Committee
Housing Agency, Mount Street, Dublin
November 27, 2014

Published in: Government & Nonprofit
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The Risk of Homelessness

  1. 1. Table of Contents • Introduction • Indicator Source • GraphoMap: QoLRS City Indicators Across Time • City of Calgary: LICO & 30% of Income Spent on Rent • City of Toronto: Aging Social Housing Stock • Grand Montréal: Grand Montréal: Logements sociaux et populations ayant des difficultés financières pour se loger • Data Issues • Municipal Data Collection Tool • Programmable City & Indicators
  2. 2. Introduction - Pilot Atlas of the Risk of Homelessness • Funded by: – Data Development Projects on Homelessness Program, Homelessness Knowledge Development Program, Homelessness Partnering Secretariat of Human Resources and Social Development Canada (HRSDC) • Partnership: – Federation of Canadian Municipalities (FCM) Quality of Life Reporting System (QOLRS) (24 cities) and the Geomatics and Cartographic Research Centre • 2 cities and 1 metropolitan area: – City of Calgary – City of Toronto – Communauté métropolitaine de Montréal • Geomatics and Cartographic Research Centre Research Team: (https://gcrc.carleton.ca/confluence/display/GCRCWEB/Pilot+Atlas+of+the+Ri sk+of+Homelessness): – Research Leader: Tracey P. Lauriault (Tracey.Lauriault@NUIM.ie) – Cartographer: Dr. Sebastien Cacquard, – Geomatician: Christine Homuth – Primary Investigator: Dr. D. R. Fraser Taylor – Thanks to: Glenn Brauen, Amos Hayes and Jean-Pierre Fiset
  3. 3. Federation of Canadian Municipalities Quality of Life Reporting System (QoLRS)
  4. 4. Introduction to the Pilot Atlas of the Risk of Homelessness
  5. 5. GraphoMap: QoLRS City Indicators Across Time Vacancy Rates All Rental
  6. 6. GraphoMap: QoLRS City Indicators Across Time City of Toronto 50%+, Housing Starts & Vacancy Rates
  7. 7. City of Calgary: LICO & 30% of Income Spent on Rent
  8. 8. City of Calgary: LICO & 30% of Income Spent on Rent
  9. 9. Grand Montréal: Grand Montréal: Logements sociaux et populations ayant des difficultés financières pour se loger
  10. 10. Aging Social Housing Stock by Neighbourhood: Toronto
  11. 11. Details by Neighbourhood: Toronto
  12. 12. Aging Social Housing Stock by Building: Toronto
  13. 13. Details by Building: Toronto
  14. 14. Data Issues • Statistics Canada Geographies change • Health districts, wards, neighbourhoods and StatCan boundaries differ • Formats differ • The cost of StatCan special tabulations are cost prohibitive • Restrictive access to some datasets – HIFIS • CMHC data is very expensive • Licenses are restrictive • City data are the richest The stories we can tell about Canada's social-policital-economy is impeded with due to data cost and access issues
  15. 15. FCM QoLRS Today and the Municipal Data Collection Tool

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