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Updated: Sep 9, 2025

A Cost Effective and Adaptable Scratch Migration Assay
Published on: June 30, 2020
Tools for collecting information on irregular migration estimates and indicators
Carlos Vargas-Silva1, Arjen Leerkes2, Denis Kierans1
1Centre on Migration, Policy and Society, University of Oxford, Oxford, England, OX2 6QS, UK.
The Measuring Irregular Migration and Related Policies (MIrreM) project developed tools and databases for collecting quantitative data on irregular migration stocks and flows. These resources critically appraise estimates and indicators for policymaking and research.
Area of Science:
- Demography
- Migration Studies
- Public Policy
Background:
- Irregular migration data collection is challenging due to data scarcity and hard-to-reach populations.
- Previous projects like Clandestino (2000-2007) laid groundwork for irregular migration research.
- The MIrreM project builds upon prior work, extending the data collection period to 2008-2023.
Purpose of the Study:
- To develop and present tools for collecting quantitative data on irregular migration stocks and flows.
- To construct two databases critically appraising estimates and indicators of irregular migration.
- To support policymaking and research in countries with limited administrative data on irregular migration.
Main Methods:
- Development of specific tools for quantitative data collection on irregular migration.
- Creation of two databases: one for irregular migrant stocks and another for flows.
- Refinement of quality assessment criteria for estimates and statistical indicators, distinguishing between the two.
Main Results:
- Two comprehensive databases inventorying and appraising irregular migration estimates and indicators.
- Databases cover 12 EU member states, the UK, Canada, the USA, and five transit countries.
- Inclusion of data on irregular migrant population size, characteristics, changes, and related indicators (e.g., border apprehensions).
Conclusions:
- The MIrreM tools and databases provide a valuable resource for understanding irregular migration.
- The refined methodology enhances the quality assessment of migration data.
- These tools are applicable to researchers facing similar data challenges in migration studies.
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