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Dutch tenants at risk of eviction: Identifying predictors of eviction orders.


ABSTRACT: In order to prevent evictions, it is important to gain more insight into factors predicting whether or not tenants receive an eviction order. In this study, ten potential risk factors for evictions were tested. Tenants who were at risk of eviction due to rent arrears in five Dutch cities were interviewed using a structured questionnaire, and six months later their housing associations were asked to provide information about the tenants' current situation. Multiple logistic regression analyses with data on 344 tenants revealed that the amount of rent arrears was a strong predictor for receiving an eviction order. Furthermore, single tenants and tenants who had already been summoned to appear in court were more likely to receive an eviction order. These results can contribute to identifying households at risk of eviction at an early stage, and to develop targeted interventions to prevent evictions.

SUBMITTER: Edwards MH 

PROVIDER: S-EPMC8279371 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Dutch tenants at risk of eviction: Identifying predictors of eviction orders.

Edwards Marieke H MH   van den Dries Linda L   Te Grotenhuis Manfred M   Stenberg Sten-Åke SÅ   Wolf Judith R L M JRLM  

PloS one 20210714 7


In order to prevent evictions, it is important to gain more insight into factors predicting whether or not tenants receive an eviction order. In this study, ten potential risk factors for evictions were tested. Tenants who were at risk of eviction due to rent arrears in five Dutch cities were interviewed using a structured questionnaire, and six months later their housing associations were asked to provide information about the tenants' current situation. Multiple logistic regression analyses wi  ...[more]

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