Our VP of Consultation and Engagement discusses the results of our recent nationwide engagement activity, A Healthy Dialogue, and what this could mean for the future of the Canadian health care [...]
A majority of GTA residents (69%) also think the Province of Ontario and municipal governments need to do more to get affordable housing built in their communities
Support Among Residents for New Taxes in the GTA
A majority of GTA residents (69%) also think the Province of Ontario and municipal governments need to do more to get affordable housing built in their communities. Seven in ten (69%) believe government should offer tax incentives to developers to build more affordable housing units, with a similar number (66%) believing that an increased supply of housing will put a brake on rising real estate prices and result in a levelling-off after years of dramatic increases.
Proportion of Residents that Agree Housing is Affordable in the Community
These results suggest GTA residents welcome a higher level of intervention by governments in the housing market, both by offering a carrot (tax breaks for developers) and a stick (taxes on foreign buyers) in their approach.
As affordable housing continues to grow as a public concern – and decreasing numbers of GTA residents (just 16%, down from 33% in 2013) believe housing in their communities is actually affordable – residents are supportive of their elected officials taking more significant steps to address the challenge.
About the survey: These results of this survey are from the Fall 2016 wave of Focus GTA, a semi-annual syndicated study of Greater Toronto Area residents. The Fall 2016 wave of Focus GTA was conducted from October 5-20, 2016 and included a representative sample of n=1,012 Greater Toronto area residents, including 503 residents of Toronto, and 509 residents of York, Peel, Halton and Durham regions. Environics set quotas for age, gender, income, region and PRIZM Social Group in order to ensure that the sample would be representative of the general population. Because this is an online sample, no margin of error can be ascribed.