There is a newer version of the record available.

Published June 9, 2024 | Version v1
Dataset Open

MIrreM Public Database on Irregular Migration Stock Estimates

  • 1. University of Oxford
  • 2. ROR icon Vrije Universiteit Brussel
  • 3. ROR icon University of Milan
  • 4. ROR icon Iscte – Instituto Universitário de Lisboa
  • 5. ROR icon Universidad Complutense de Madrid
  • 6. ROR icon Osnabrück University
  • 7. ROR icon University of Leicester
  • 8. ROR icon University of Warsaw
  • 9. University of Turku
  • 10. ROR icon Universität für Weiterbildung Krems
  • 11. ROR icon Maastricht University
  • 12. ROR icon Erasmus University Rotterdam
  • 13. ROR icon Hellenic Foundation for European and Foreign Policy
  • 14. ROR icon United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology
  • 15. ROR icon Migration Policy Institute

Description

The Public Database on Irregular Migration Stock Estimates (the Database) provides an inventory and critical appraisal of country-level estimates of irregular migration stocks in 13 European countries and the United States for the period 2008 to 2023. It is a deliverable of the MIrreM project, which is a follow-up to CLANDESTINO. CLANDESTINO covered the period 2000-2008.

Users of the Database are advised to consult the following companion documents:

  • The README File, which can be accessed alongside the Database, and contains contextual and technical information about the Database. 
  • Discussion of the context, the underlying concepts, and the methodology used in the data collection and quality assessment: Vargas-Silva, C., Leerkes A., Kierans, D., Siruno, L. and Kraler, A. (2024, forthcoming). Tools for collecting information on irregular migration estimates and indicators. Open Research Europe.
  • Analysis of the stock estimates: Kierans, D. and Vargas-Silva, C. (2024, forthcoming). Working Paper on Irregular Migration Stocks. MIrreM Working Paper No. 10. Krems: University for Continuing Education Krems (Danube University Krems).

Furthermore, users of the Database are notified of a ‘sister’ database of the MIrreM project, which captures and assesses estimates and indicators of irregular migration flows over the same period, the Public Database on Irregular Migration Flow Estimates and Indicators and accompanying analysis:

  • Siruno, L., Leerkes, A., Badre, A., Bircan, T., Brunovská, E., Cacciapaglia, M., Carvalho, J., Cassain, L., Cyrus, N., Desmond, A., Fihel, A., Finotelli, C., Ghio, D., Hendow, M., Heylin, R., Jauhiainen, J.S., Jovanovic, K., Kierans, D., Mohan, S.S., Nikolova, M., Oruc, N., Ramos, M.P.G., Rössl, L., Sağiroğlu, A.Z., Santos, S., Schütze, T., & Sohst, R.R. (2024) MIrreM Public Database on Irregular Migration Flow Estimates and Indicators. Krems: University for Continuing Education Krems (Danube University Krems). https://doi.org/10.5281/zenodo.10813413
  • Siruno, L., Leerkes, A., Hendow, M. & Brunovksá, E. (2024) Working Paper on Irregular Migration Flows. MIrreM Working Paper No. 9. Krems: University for Continuing Education Krems (Danube University Krems). https://zenodo.org/records/10702228

Files

Additional details

Funding

MIrreM – Measuring Irregular Migration and related Policies 101061314
European Commission
Measuring Irregular Migration and related Policies (MIrreM) 10041473
UK Research and Innovation
Canada Excellence Research Chair in Migration and Integration, Toronto Metropolitan University 0
Social Sciences and Humanities Research Council