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<edm:dataProvider>University for Continuing Education Krems</edm:dataProvider>

  
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<dc:title xml:lang="en">Surveying irregular migrants: Challenges and approaches</dc:title>

  
<dc:description xml:lang="en">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:identifier rdf:resource="https://door.donau-uni.ac.at/o:5692"></dc:identifier>

  
<dc:language>en</dc:language>

  
<edm:type>TEXT</edm:type>

  
<dc:type>book part</dc:type>

  
<dc:type>Buchkapitel</dc:type>

  
<dc:type>Capitolo di libro</dc:type>

  
<dc:type xml:lang="en">Text</dc:type>

  
<dc:type xml:lang="en">book part</dc:type>

  
<dc:type xml:lang="de">Text</dc:type>

  
<dc:type xml:lang="de">Buchkapitel</dc:type>

  
<dc:type xml:lang="it">Testo</dc:type>

  
<dc:type xml:lang="it">Capitolo di libro</dc:type>

  
<dc:subject xml:lang="en">Surveying irregular migrants</dc:subject>

  
<dc:subject xml:lang="en">hard-to-count-population</dc:subject>

  
<dc:subject xml:lang="en">sampling methods</dc:subject>

  
<dc:subject xml:lang="en">Legal status trajectories</dc:subject>

  
<dc:subject xml:lang="en">Data challenges</dc:subject>

  
<dc:subject xml:lang="en">Mixed methods</dc:subject>

  
<dcterms:issued>2025-09-30</dcterms:issued>

  
<dc:date>2025-09-30</dc:date>

  
<dc:creator>Rocco Molinari</dc:creator>

  
<dc:creator>Livia Elisa Ortensi</dc:creator>

  
<dc:publisher>University of Krems Press</dc:publisher>

  
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