the risk of homelessness
TRANSCRIPT
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
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+Risk+of+Homelessness):
– Research Leader: Tracey P. Lauriault ([email protected])– Cartographer: Dr. Sebastien Cacquard, – Geomatician: Christine Homuth– Primary Investigator: Dr. D. R. Fraser Taylor– Thanks to: Glenn Brauen, Amos Hayes and Jean-Pierre Fiset
Federation of Canadian Municipalities Quality of Life Reporting System (QoLRS)
Introduction to the Pilot Atlas of the Risk of Homelessness
GraphoMap: QoLRS City Indicators Across Time
Vacancy Rates All Rental
GraphoMap: QoLRS City Indicators Across Time
City of Toronto 50%+, Housing Starts & Vacancy Rates
City of Calgary: LICO & 30% of Income Spent on Rent
City of Calgary: LICO & 30% of Income Spent on Rent
Grand Montréal: Grand Montréal: Logements sociaux et populations ayant des difficultés financières pour se loger
Aging Social Housing Stock by Neighbourhood: Toronto
Details by Neighbourhood: Toronto
Aging Social Housing Stock by Building: Toronto
Details by Building: Toronto
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
FCM QoLRS Today and the Municipal Data Collection Tool
