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Estimating Homelessness in the Netherlands Using a Capture-Recapture Approach

Author

Listed:
  • A. M. Coumans

    (Statistics Netherlands)

  • M. Cruyff

    (Utrecht University)

  • P. G. M. Heijden

    (Utrecht University
    University of Southampton)

  • J. Wolf

    (Radboud University Nijmegen)

  • H. Schmeets

    (Statistics Netherlands
    Maastricht University)

Abstract

This study focuses on the homeless population in the Netherlands, as an indicator of social exclusion. By applying the capture-recapture (CRC) methodology to three registers, not only the size of the homeless population could be estimated, but also its composition in terms of gender, age, place of living, and origin could be depicted. Because of the use of three registers and the availability of background characteristics for each of the registers, the usual stringent assumptions of capture recapture methodology is circumvented. This advanced application of CRC to estimate the homeless population on the national level, has led to official figures for five subsequent reference dates (January 1st of 2009, 2010, 2011, 2012 and 2013). In 2009 the size of the total homeless population in the Netherlands was estimated at 17,767, of which 5169 were registered on one of the three lists. Between 2009 and 2012 the estimated size of the population increased, which was largely due to the financial crisis. For all reference dates, the composition of this population showed that generally more men than women were registered and that homeless people in the age category of 30–49 years old were registered more than the younger or older age groups. Compared to the general Dutch population, the homeless population includes relatively many men, many people aged 30–49 years and people with a non-western background.

Suggested Citation

  • A. M. Coumans & M. Cruyff & P. G. M. Heijden & J. Wolf & H. Schmeets, 2017. "Estimating Homelessness in the Netherlands Using a Capture-Recapture Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 189-212, January.
    • Handle: RePEc:spr:soinre:v:130:y:2017:i:1:d:10.1007_s11205-015-1171-7
    DOI: 10.1007/s11205-015-1171-7
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    References listed on IDEAS

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