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<lom:catalog>DOI</lom:catalog>

  
<lom:entry>
  
<lom:langstring xml:lang="x-none">10.48341/g31s-vq79-10</lom:langstring>

  
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</lom:identifier>

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

  
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<lom:description>
  
<lom:langstring 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.</lom:langstring>

  
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<lom:langstring xml:lang="en">Surveying irregular migrants</lom:langstring>

  
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<lom:keyword>
  
<lom:langstring xml:lang="en">hard-to-count-population</lom:langstring>

  
</lom:keyword>

  
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<lom:langstring xml:lang="en">sampling methods</lom:langstring>

  
</lom:keyword>

  
<lom:keyword>
  
<lom:langstring xml:lang="en">Legal status trajectories</lom:langstring>

  
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<lom:langstring xml:lang="en">Data challenges</lom:langstring>

  
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<lom:langstring xml:lang="en">Mixed methods</lom:langstring>

  
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<lom:datetime>2025-09-30T11:25:54.847Z</lom:datetime>

  
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<lom:vcard>BEGIN:VCARD
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N:Molinari;Rocco;
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<lom:vcard>BEGIN:VCARD
VERSION:3.0
N:Ortensi;Livia Elisa;
FN:Livia Elisa Ortensi
X-ORCID:https://orcid.org/0000-0003-1163-8440
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