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

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... Mehr ...

Verfasser: Edwards, Marieke H.
van den Dries, Linda
te Grotenhuis, Manfred
Stenberg, Sten-Åke
Wolf, Judith R. L. M.
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: PLOS ONE ; volume 16, issue 7, page e0254489 ; ISSN 1932-6203
Verlag/Hrsg.: Public Library of Science (PLoS)
Schlagwörter: Multidisciplinary
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26668556
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1371/journal.pone.0254489

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.