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Dataset Information

Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis.


ABSTRACT:

Objective

Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada.

Methods

Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings).

Results

The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respect

SUBMITTER: Brown EM 

PROVIDER: S-EPMC10485221 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature