Exclusion through statistical invisibility. An exploration on what can be known through publicly available datasets on irregular migration and the health status of this population in Germany

Silvia Loi and Daniela Vono de Vilhena
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Silvia Loi: Max Planck Institute for Demographic Research, Rostock, Germany
Daniela Vono de Vilhena: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2020-009, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Abstract: This working paper offers an overview on the availability of data on irregular migration in Germany. Precisely, it critically describes the main data sources available, indicating that it is extremely difficult, if not impossible, to conduct an accurate assessment of the dimensions of irregular migration as a social phenomenon in the country, the characteristics and challenges faced by this population, and the extent to which their rights are protected with the data currently available. Second, it further discusses how the lack of data on irregular migrants makes it particularly challenging to monitor specific outcomes, such as their health conditions. The final section of the document provides an overview on future prospects for the study of irregular migration in Germany, underlining the need to develop new data sources that focus on this population.

Keywords: Germany; health; health policy; illegal migration; international migration; mental health (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2020
New Economics Papers: this item is included in nep-mig
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2020-009

DOI: 10.4054/MPIDR-WP-2020-009

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