<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:publisher>University of Krems Press</dc:publisher>
  <dc:title xml:lang="eng">Surveying irregular migrants: Challenges and approaches</dc:title>
  <dc:language>eng</dc:language>
  <dc:subject xml:lang="eng">Surveying irregular migrants</dc:subject>
  <dc:subject xml:lang="eng">hard-to-count-population</dc:subject>
  <dc:subject xml:lang="eng">sampling methods</dc:subject>
  <dc:subject xml:lang="eng">Legal status trajectories</dc:subject>
  <dc:subject xml:lang="eng">Data challenges</dc:subject>
  <dc:subject xml:lang="eng">Mixed methods</dc:subject>
  <dc:type xml:lang="eng">Text</dc:type>
  <dc:type xml:lang="eng">book part</dc:type>
  <dc:format>application/pdf</dc:format>
  <dc:creator>Rocco Molinari</dc:creator>
  <dc:creator>Livia Elisa Ortensi</dc:creator>
  <dc:date>2025-09-30</dc:date>
  <dc:identifier>doi:10.48341/g31s-vq79-10</dc:identifier>
  <dc:type xml:lang="ita">Testo</dc:type>
  <dc:type xml:lang="ita">Capitolo di libro</dc:type>
  <dc:description xml:lang="eng">Key points

• Irregular migrants are difficult to capture in statistics because of their absence from 
official sampling frames, mobility, and fear of detection. Surveying them requires tailored 
approaches, including non-probability sampling, trust-building strategies and ethical 
safeguards.

• This chapter reviews three types of surveys that can yield data on irregular migrants: 
those that explicitly include them in the sampling design, those that target applicants 
of regularisation programmes, and retrospective surveys that reconstruct past legal 
trajectories.

• Drawing on examples from France, Italy, Spain and the United States, this chapter shows 
how innovative designs and context-specific adaptations can improve coverage and data 
quality.

• Each approach has its own strengths and limitations. A combination of methods, applied 
thoughtfully, is needed to strengthen the evidence base and support more accurate data 
collection and analysis.</dc:description>
  <dc:type xml:lang="deu">Text</dc:type>
  <dc:type xml:lang="deu">Buchkapitel</dc:type>
  <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:identifier>https://door.donau-uni.ac.at/o:5692</dc:identifier>
</oai_dc:dc>