Estimating Annual and Long-Term Flows In and Out of Core Housing Need

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This Research Insight examines recent findings using machine learning and predictive modeling to understand changing trends in Canada's core housing need. Based on data from the Longitudinal Administrative Databank, the study forecasts future trajectories for individuals experiencing core housing challenges. It underscores the importance of tailored interventions and effective resource allocation to address the diverse needs within this critical sector.

Key insights:

Approximately 75% of individuals in core housing need are projected to transition out within three years, highlighting significant potential for improvement in housing stability.
Despite improvements, about 23.5% of individuals face long-term core housing challenges, necessitating sustained support strategies.
Effective policy and resource allocation strategies should prioritize sustainable, long-term support mechanisms for those experiencing prolonged housing insecurity.