What public data says about Toronto's housing squeeze
Each study on this site answers one question. Read together, they sketch a system: where homes leak out of the long-term market, where new supply waits, where the harm lands, and where the pressure comes from. Five findings, each pointing at a different lever with a different owner.
1 · Homes are leaking sideways out of the long-term market
My thesis linked entire-home Airbnb activity to rents about 5.6% higher citywide than they would otherwise be, with listings outside the by-law's reach carrying 2.5 times the impact of regulated ones. Two years later, study 04 found the escape route had become the main route: 58.7% of entire homes now sit past the 28-night line where the rules stop, priced at roughly $3,671 a month for a one-bedroom against $2,365 for an average rental condo. These are furnished, lease-free, month-minimum units: housing-shaped supply held at prices most tenants cannot reach. The lever this points toward is the by-law's 28-day boundary itself, which is a city council decision.
2 · New supply waits longest at the stage the city controls least
Study 05 found 5,065 open development applications with a median age of 4.1 years, and more than half of everything submitted since 2022 still open. The sharpest detail: rezonings clear the city's own review faster than site plans at the same age, but 54.6% of the rezonings that remain open are sitting at the provincial appeals tribunal, against 8.7% of site plans. Speeding up the review desk would barely touch that backlog. The lever is appeal-stage capacity, which belongs to the province.
3 · The harm concentrates at the moment payment breaks
In study 01, the share of renters reporting fair-or-poor mental health climbs from 23% to 37% as the rent bill's share of income grows. But once income itself is held constant, the ratio stops mattering and one thing keeps mattering: renters who actually missed or delayed a housing payment carry 2.3 times the odds of poor mental health, at every income level. If that association runs even partly from hardship to health, the efficient lever is not general affordability rhetoric but the specific moment of arrears: rent banks, eviction prevention, emergency supports. Those programs are mostly municipal and provincial.
4 · Building quality is surprisingly even; heat risk is citywide
Study 03 went looking for the expected gradient, worse buildings in poorer neighbourhoods, and found audit scores near 89 in every income third, with all 3,452 buildings' scores overlapping almost completely. What it found instead: 84 of every 100 audited rental towers provide no air conditioning, in rich and poor neighbourhoods alike, and the enforcement program itself appears to work, with citywide averages climbing 15 points over six years and gains largest exactly where inspection pressure was greatest. The lever is a maximum-heat standard, which would have to be citywide rather than targeted, and the evidence that inspection regimes move landlord behaviour is already in the city's own files.
5 · Shelter demand is set upstream of the city that pays for it
Study 02 found that Toronto's refugee shelter population was climbing 6% a month for a year and a half before the summer 2023 crisis made news, settled about 21% above its old path afterward, and traced the same wave as Ontario's asylum-claim volumes, which quadrupled and then fell with federal policy. A city budget line, driven by a national process. The lever is standing federal-municipal cost and capacity coordination, so the response machinery exists before the next wave rather than being improvised during it.
Reading the five together
The squeeze is not one problem with one owner. The data points at a provincial tribunal, a municipal by-law boundary, arrears-moment supports, a citywide heat standard, and a federal-municipal pipeline, five levers held by different governments. That is an argument for precision: knowing which finding belongs to which desk. The same decade also stressed the systems next door; my opioid study tracks one of them.
Honesty carries over from the underlying studies: every claim above is an association measured in one city's public data, each with limits stated on its own page. "Points toward" is meant literally; none of these findings proves a policy will work. What they support is a shortlist worth testing, and the methods on this site are how I would test them.