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.
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.
Federation of Canadian Municipalities
Quality of Life Reporting System (QoLRS)

4.
Introduction to the Pilot Atlas of the Risk of Homelessness

5.
GraphoMap: QoLRS City Indicators Across Time
Vacancy Rates All Rental

6.
GraphoMap: QoLRS City Indicators Across Time
City of Toronto
50%+, Housing Starts & Vacancy Rates

7.
City of Calgary: LICO & 30% of Income Spent on Rent

8.
City of Calgary: LICO & 30% of Income Spent on Rent

9.
Grand Montréal: Grand Montréal: Logements sociaux et
populations ayant des difficultés financières pour se loger

10.
Aging Social Housing Stock by Neighbourhood: Toronto

11.
Details by Neighbourhood: Toronto

12.
Aging Social Housing Stock by Building: Toronto

13.
Details by Building: Toronto

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.
FCM QoLRS Today and the Municipal Data Collection Tool